{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Office football pool - 2015\n",
    "\n",
    "\n",
    "Because the office is much more fun when there is football."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The tools used here are free and open-source\n",
    "\n",
    "- **Python** is a programming language designed to be easy to learn\n",
    "- **Pandas** is a data manipulation library for Python\n",
    "- **Scikit-learn** is a data mining / analysis library for Python\n",
    "\n",
    "\n",
    "#### Meaning you can do this\n",
    "\n",
    "- at home with your kids\n",
    "- ...or (*erm*) at your desk right now\n",
    "- if you don't already have the tools, use [Anaconda][anaconda-download] for a painless bundled installation\n",
    "\n",
    "And here's the [code for today][repo]\n",
    "</small>\n",
    "\n",
    "[anaconda-download]: http://continuum.io/downloads\n",
    "[repo]: https://github.com/tanyaschlusser/office-nfl-pool#office-nfl-pool"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## ...But first we need data\n",
    "\n",
    "- Lots of sites share or sell data, but disallow further use\n",
    "- Not to worry, we can still make models and manipulate data from Wikipedia\n",
    "- → I have pulled (and cleaned) the basic outcomes from 2008-2014 for you\n",
    "- → and pulled (but not cleaned) the final rosters for teams from 2008-2014"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Note\n",
    "To evaluate a cell, type `[control] + [enter]` (at least on OSX). There is also a **Help** menu above for more instructions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "##\n",
    "# The 'import' statement imports external libraries for use in the interactive session.\n",
    "# ... and 'import <library> as <nickname>' makes a shorter name for convenience.\n",
    "#\n",
    "# The '%matplotlib inline' statement allows inline plots here. (see try.jupyter.org)\n",
    "#\n",
    "import datetime\n",
    "import matplotlib\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "# Bigger fonts and figures for the demo\n",
    "matplotlib.rcParams.update({\n",
    "        'font.size': 14,\n",
    "        'figure.figsize':(10.0, 8.0),\n",
    "        'axes.formatter.useoffset':False })\n",
    "\n",
    "# Better data frame display for the demo\n",
    "pd.set_option('expand_frame_repr', True)\n",
    "pd.set_option('max_rows', 18)\n",
    "pd.set_option('max_colwidth', 14)\n",
    "pd.set_option('precision',2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### OK, Jupyter\n",
    "\n",
    "If you haven't seen this format before, it is a Jupyter notebook. It runs a web GUI that sends code , grouped in 'cells', to a listening interpreter to execute, then displays the results. Usually you do this on your own computer, but there's [a way to serve notebooks][tryjupyter-github] too. Jupyter notebooks are good for interactive demos like this and for executable reports.\n",
    "\n",
    "- Start it on the command line by typing `ipython notebook` in a directory above your notebooks, or else from the Anaconda Launcher, click `ipython-notebook`\n",
    "- The project is written in Python but can execute code for anything that has a \"kernel\" — a way to receive code and send responses. We are using the IPython kernel, and there's one built for R, Ruby, Haskell, and others ([reference][tryjupyter]).\n",
    "- The extra `%matplotlib inline` above is a 'magic', a meta-command not part of Python that instructs Jupyter to perform inline plotting.\n",
    "\n",
    "[tryjupyter]: http://try.jupyter.org\n",
    "[tryjupyter-github]: https://github.com/jupyter/try.jupyter.org"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Evaluate this cell for documentation on Jupyter magics\n",
    "%magic"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Pandas I/O\n",
    "\n",
    "Read a CSV file with the function `pd.read_csv`. The other input options are:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "read_clipboard read_csv read_excel read_fwf read_gbq read_hdf read_html read_json read_msgpack read_pickle read_sql read_sql_query read_sql_table read_stata read_table\n"
     ]
    }
   ],
   "source": [
    "##\n",
    "# Pro tip:\n",
    "#    You probably know 'help(object)' will show documentation for the object.\n",
    "#    'dir(object)' will list all names accessible via the object.\n",
    "print(' '.join([x for x in dir(pd) if 'read_' in x]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "_auto_consolidate to_clipboard to_csv to_dense to_dict to_excel to_gbq to_hdf to_html to_json to_latex to_msgpack to_panel to_period to_pickle to_records to_sparse to_sql to_stata to_string to_timestamp to_wide\n"
     ]
    }
   ],
   "source": [
    "## ... and output options:\n",
    "print(' '.join([x for x in dir(pd.DataFrame) if 'to_' in x]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Season</th>\n",
       "      <th>Category</th>\n",
       "      <th>Week</th>\n",
       "      <th>Team</th>\n",
       "      <th>Opponent</th>\n",
       "      <th>AtHome</th>\n",
       "      <th>Points</th>\n",
       "      <th>PointsAllowed</th>\n",
       "      <th>Date</th>\n",
       "      <th>Stadium</th>\n",
       "      <th>Overtime</th>\n",
       "      <th>VegasSpread</th>\n",
       "      <th>VegasTotal</th>\n",
       "      <th>VegasWin</th>\n",
       "      <th>Interceptions</th>\n",
       "      <th>Sacks</th>\n",
       "      <th>Fumbles</th>\n",
       "      <th>PenaltyYards</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2008</td>\n",
       "      <td>regular</td>\n",
       "      <td>1</td>\n",
       "      <td>Arizona Ca...</td>\n",
       "      <td>San Franci...</td>\n",
       "      <td>False</td>\n",
       "      <td>23</td>\n",
       "      <td>13</td>\n",
       "      <td>2008-09-07...</td>\n",
       "      <td>Candlestic...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>42</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2008</td>\n",
       "      <td>regular</td>\n",
       "      <td>2</td>\n",
       "      <td>Arizona Ca...</td>\n",
       "      <td>Miami Dolp...</td>\n",
       "      <td>True</td>\n",
       "      <td>31</td>\n",
       "      <td>10</td>\n",
       "      <td>2008-09-14...</td>\n",
       "      <td>University...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.5</td>\n",
       "      <td>40</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2008</td>\n",
       "      <td>regular</td>\n",
       "      <td>3</td>\n",
       "      <td>Arizona Ca...</td>\n",
       "      <td>Washington...</td>\n",
       "      <td>False</td>\n",
       "      <td>17</td>\n",
       "      <td>24</td>\n",
       "      <td>2008-09-21...</td>\n",
       "      <td>FedEx Field</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-3.0</td>\n",
       "      <td>43</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Season Category  Week           Team       Opponent AtHome  Points  \\\n",
       "0    2008  regular     1  Arizona Ca...  San Franci...  False      23   \n",
       "1    2008  regular     2  Arizona Ca...  Miami Dolp...   True      31   \n",
       "2    2008  regular     3  Arizona Ca...  Washington...  False      17   \n",
       "\n",
       "   PointsAllowed           Date        Stadium Overtime  VegasSpread  \\\n",
       "0             13  2008-09-07...  Candlestic...      NaN          1.0   \n",
       "1             10  2008-09-14...  University...      NaN          6.5   \n",
       "2             24  2008-09-21...    FedEx Field      NaN         -3.0   \n",
       "\n",
       "   VegasTotal VegasWin  Interceptions  Sacks  Fumbles  PenaltyYards  \n",
       "0          42     True              0      4        0            40  \n",
       "1          40     True              0      2        1            45  \n",
       "2          43    False              1      2        1            42  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import os  # in case you're on windows\n",
    "file_location = os.path.join('data', 'nfl_season2008to2014.csv')\n",
    "df = pd.read_csv(file_location)\n",
    "\n",
    "df.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data description\n",
    "\n",
    "We have data from the 2008-2014 seasons. I pulled it from Wikipedia because\n",
    "every other source basically restricts use. The data sets used in this webinare are\n",
    "also in the repository.\n",
    "\n",
    "- `Season`, `Week`, and `Date`\n",
    "- `Team` and `Opponent`\n",
    "- `Points` and `PointsAllowed`, for the Team and Opponent respectively\n",
    "- `Stadium` (sometimes)\n",
    "- `Overtime` (a string with the number of periods of overtime, otherwise Null)\n",
    "- `AtHome`\n",
    "    + True if the game is at home (or in London but the team is the 'Home' team)\n",
    "    + False for the superbowl, for both teams\n",
    "- `VegasSpread`, `VegasTotal`, `VegasWin`\n",
    "    + The betting details from before the game. Donated by [TipRanks.com][tipranks]\n",
    "- `Interceptions`, `Sacks`, `Fumbles`, `PenaltyYards`\n",
    "    + Also donated by [TipRanks.com][tipranks]\n",
    "    + `Interceptions`: interceptions thrown\n",
    "    + `Fumbles`: fumbles made (not fumbles forced)\n",
    "    + `Sacks`: sacks made by the defense\n",
    "\n",
    "\n",
    "There are two rows per game, one for the home team and one for the away team, so that we can do aggregations over a team (like a moving average of total points allowed).\n",
    "\n",
    "[tipranks]: http://tipranks.com/nfl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Season</th>\n",
       "      <th>Category</th>\n",
       "      <th>Week</th>\n",
       "      <th>Team</th>\n",
       "      <th>Opponent</th>\n",
       "      <th>AtHome</th>\n",
       "      <th>Points</th>\n",
       "      <th>PointsAllowed</th>\n",
       "      <th>Date</th>\n",
       "      <th>Stadium</th>\n",
       "      <th>...</th>\n",
       "      <th>Spread</th>\n",
       "      <th>PointsPercent</th>\n",
       "      <th>Outcome</th>\n",
       "      <th>WLT</th>\n",
       "      <th>WinPct</th>\n",
       "      <th>LastWeekBye</th>\n",
       "      <th>Past5WkAvgPts</th>\n",
       "      <th>Past5WkAvgFumbles</th>\n",
       "      <th>Past5WkInterceptions</th>\n",
       "      <th>EwmaPenaltyYards</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2008</td>\n",
       "      <td>regular</td>\n",
       "      <td>1</td>\n",
       "      <td>Arizona Ca...</td>\n",
       "      <td>San Franci...</td>\n",
       "      <td>False</td>\n",
       "      <td>23</td>\n",
       "      <td>13</td>\n",
       "      <td>2008-09-07...</td>\n",
       "      <td>Candlestic...</td>\n",
       "      <td>...</td>\n",
       "      <td>10</td>\n",
       "      <td>0.6</td>\n",
       "      <td>W</td>\n",
       "      <td>1-0-0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2008</td>\n",
       "      <td>regular</td>\n",
       "      <td>2</td>\n",
       "      <td>Arizona Ca...</td>\n",
       "      <td>Miami Dolp...</td>\n",
       "      <td>True</td>\n",
       "      <td>31</td>\n",
       "      <td>10</td>\n",
       "      <td>2008-09-14...</td>\n",
       "      <td>University...</td>\n",
       "      <td>...</td>\n",
       "      <td>21</td>\n",
       "      <td>0.8</td>\n",
       "      <td>W</td>\n",
       "      <td>2-0-0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2008</td>\n",
       "      <td>regular</td>\n",
       "      <td>3</td>\n",
       "      <td>Arizona Ca...</td>\n",
       "      <td>Washington...</td>\n",
       "      <td>False</td>\n",
       "      <td>17</td>\n",
       "      <td>24</td>\n",
       "      <td>2008-09-21...</td>\n",
       "      <td>FedEx Field</td>\n",
       "      <td>...</td>\n",
       "      <td>-7</td>\n",
       "      <td>0.4</td>\n",
       "      <td>L</td>\n",
       "      <td>2-1-0</td>\n",
       "      <td>0.7</td>\n",
       "      <td>False</td>\n",
       "      <td>27.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0</td>\n",
       "      <td>43.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2008</td>\n",
       "      <td>regular</td>\n",
       "      <td>4</td>\n",
       "      <td>Arizona Ca...</td>\n",
       "      <td>New York Jets</td>\n",
       "      <td>False</td>\n",
       "      <td>35</td>\n",
       "      <td>56</td>\n",
       "      <td>2008-09-28...</td>\n",
       "      <td>Giants Sta...</td>\n",
       "      <td>...</td>\n",
       "      <td>-21</td>\n",
       "      <td>0.4</td>\n",
       "      <td>L</td>\n",
       "      <td>2-2-0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>False</td>\n",
       "      <td>23.7</td>\n",
       "      <td>0.7</td>\n",
       "      <td>1</td>\n",
       "      <td>42.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2008</td>\n",
       "      <td>regular</td>\n",
       "      <td>5</td>\n",
       "      <td>Arizona Ca...</td>\n",
       "      <td>Buffalo Bills</td>\n",
       "      <td>True</td>\n",
       "      <td>41</td>\n",
       "      <td>17</td>\n",
       "      <td>2008-10-05...</td>\n",
       "      <td>University...</td>\n",
       "      <td>...</td>\n",
       "      <td>24</td>\n",
       "      <td>0.7</td>\n",
       "      <td>W</td>\n",
       "      <td>3-2-0</td>\n",
       "      <td>0.6</td>\n",
       "      <td>False</td>\n",
       "      <td>26.5</td>\n",
       "      <td>1.8</td>\n",
       "      <td>4</td>\n",
       "      <td>54.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2008</td>\n",
       "      <td>regular</td>\n",
       "      <td>6</td>\n",
       "      <td>Arizona Ca...</td>\n",
       "      <td>Dallas Cow...</td>\n",
       "      <td>True</td>\n",
       "      <td>30</td>\n",
       "      <td>24</td>\n",
       "      <td>2008-10-12...</td>\n",
       "      <td>University...</td>\n",
       "      <td>...</td>\n",
       "      <td>6</td>\n",
       "      <td>0.6</td>\n",
       "      <td>W</td>\n",
       "      <td>4-2-0</td>\n",
       "      <td>0.7</td>\n",
       "      <td>False</td>\n",
       "      <td>29.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>4</td>\n",
       "      <td>41.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2008</td>\n",
       "      <td>regular</td>\n",
       "      <td>7</td>\n",
       "      <td>Arizona Ca...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Bye</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4-2-0</td>\n",
       "      <td>0.7</td>\n",
       "      <td>False</td>\n",
       "      <td>30.8</td>\n",
       "      <td>1.8</td>\n",
       "      <td>5</td>\n",
       "      <td>51.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2008</td>\n",
       "      <td>regular</td>\n",
       "      <td>8</td>\n",
       "      <td>Arizona Ca...</td>\n",
       "      <td>Carolina P...</td>\n",
       "      <td>False</td>\n",
       "      <td>23</td>\n",
       "      <td>27</td>\n",
       "      <td>2008-10-26...</td>\n",
       "      <td>Bank of Am...</td>\n",
       "      <td>...</td>\n",
       "      <td>-4</td>\n",
       "      <td>0.5</td>\n",
       "      <td>L</td>\n",
       "      <td>4-3-0</td>\n",
       "      <td>0.6</td>\n",
       "      <td>True</td>\n",
       "      <td>30.8</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5</td>\n",
       "      <td>51.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2008</td>\n",
       "      <td>regular</td>\n",
       "      <td>9</td>\n",
       "      <td>Arizona Ca...</td>\n",
       "      <td>St. Louis ...</td>\n",
       "      <td>False</td>\n",
       "      <td>34</td>\n",
       "      <td>13</td>\n",
       "      <td>2008-11-02...</td>\n",
       "      <td>Edward Jon...</td>\n",
       "      <td>...</td>\n",
       "      <td>21</td>\n",
       "      <td>0.7</td>\n",
       "      <td>W</td>\n",
       "      <td>5-3-0</td>\n",
       "      <td>0.6</td>\n",
       "      <td>False</td>\n",
       "      <td>32.2</td>\n",
       "      <td>2.2</td>\n",
       "      <td>5</td>\n",
       "      <td>55.4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Season Category  Week           Team       Opponent AtHome  Points  \\\n",
       "0    2008  regular     1  Arizona Ca...  San Franci...  False      23   \n",
       "1    2008  regular     2  Arizona Ca...  Miami Dolp...   True      31   \n",
       "2    2008  regular     3  Arizona Ca...  Washington...  False      17   \n",
       "3    2008  regular     4  Arizona Ca...  New York Jets  False      35   \n",
       "4    2008  regular     5  Arizona Ca...  Buffalo Bills   True      41   \n",
       "5    2008  regular     6  Arizona Ca...  Dallas Cow...   True      30   \n",
       "6    2008  regular     7  Arizona Ca...            NaN   True     NaN   \n",
       "7    2008  regular     8  Arizona Ca...  Carolina P...  False      23   \n",
       "8    2008  regular     9  Arizona Ca...  St. Louis ...  False      34   \n",
       "\n",
       "   PointsAllowed           Date        Stadium        ...        Spread  \\\n",
       "0             13  2008-09-07...  Candlestic...        ...            10   \n",
       "1             10  2008-09-14...  University...        ...            21   \n",
       "2             24  2008-09-21...    FedEx Field        ...            -7   \n",
       "3             56  2008-09-28...  Giants Sta...        ...           -21   \n",
       "4             17  2008-10-05...  University...        ...            24   \n",
       "5             24  2008-10-12...  University...        ...             6   \n",
       "6            NaN            Bye            NaN        ...           NaN   \n",
       "7             27  2008-10-26...  Bank of Am...        ...            -4   \n",
       "8             13  2008-11-02...  Edward Jon...        ...            21   \n",
       "\n",
       "   PointsPercent  Outcome    WLT  WinPct  LastWeekBye  Past5WkAvgPts  \\\n",
       "0            0.6        W  1-0-0     1.0        False            NaN   \n",
       "1            0.8        W  2-0-0     1.0        False            NaN   \n",
       "2            0.4        L  2-1-0     0.7        False           27.0   \n",
       "3            0.4        L  2-2-0     0.5        False           23.7   \n",
       "4            0.7        W  3-2-0     0.6        False           26.5   \n",
       "5            0.6        W  4-2-0     0.7        False           29.4   \n",
       "6            NaN      NaN  4-2-0     0.7        False           30.8   \n",
       "7            0.5        L  4-3-0     0.6         True           30.8   \n",
       "8            0.7        W  5-3-0     0.6        False           32.2   \n",
       "\n",
       "   Past5WkAvgFumbles  Past5WkInterceptions  EwmaPenaltyYards  \n",
       "0            NaN                NaN                   NaN     \n",
       "1            NaN                NaN                  40.0     \n",
       "2            0.5                  0                  43.0     \n",
       "3            0.7                  1                  42.5     \n",
       "4            1.8                  4                  54.4     \n",
       "5            1.4                  4                  41.2     \n",
       "6            1.8                  5                  51.7     \n",
       "7            2.0                  5                  51.7     \n",
       "8            2.2                  5                  55.4     \n",
       "\n",
       "[9 rows x 28 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "##\n",
    "# Transformations using Pandas\n",
    "\n",
    "# Spread\n",
    "#    The pandas.DataFrame uses numpy arrays to enable array-wise operations.\n",
    "df['Spread'] = df.Points - df.PointsAllowed\n",
    "\n",
    "# PtsPct\n",
    "df['PointsPercent'] = df.Points / (df.Points + df.PointsAllowed)\n",
    "\n",
    "# Outcome\n",
    "#    When assigning to a subset of a column in a DataFrame,\n",
    "#    use indexing ('ix' or other functions) to identify the subset.\n",
    "df['Outcome'] = np.nan  # pre-fill the column\n",
    "df.ix[df.Spread > 0, 'Outcome'] = 'W'\n",
    "df.ix[df.Spread < 0, 'Outcome'] = 'L'\n",
    "df.ix[df.Spread == 0, 'Outcome'] = 'T'\n",
    "\n",
    "# WLT (record)\n",
    "#    Make sure the data are sorted.\n",
    "#    Then:\n",
    "#    Use 'apply' for user-defined functions\n",
    "#    and 'cumsum' for a running sum; rows with np.nan\n",
    "#    in the outcome will just add zero\n",
    "df = df.sort(['Team','Season','Week'])\n",
    "df['WLT'] = df.groupby(['Team','Season'])['Outcome'].apply(\n",
    "    lambda o:\n",
    "        (o == 'W').cumsum().astype(str) + '-' +\n",
    "        (o == 'L').cumsum().astype(str) + '-'+\n",
    "        (o == 'T').cumsum().astype(str) )\n",
    "\n",
    "# WinPct\n",
    "df['WinPct'] = df.groupby(('Team','Season'))['Spread'].apply(\n",
    "    lambda s: (0.5 * (s == 0).cumsum() + (s > 0).cumsum()) / s.notnull().cumsum() )\n",
    "\n",
    "# LastWkBye\n",
    "#    Make sure the data are sorted.\n",
    "#    Then flag whether last game was a Bye\n",
    "df = df.sort(['Team', 'Season','Week'])\n",
    "df['LastWeekBye'] = df.groupby(['Team','Season'])['Spread'].shift(1).isnull().fillna(False)\n",
    "df.ix[df.Week == 1, 'LastWeekBye'] = False\n",
    "\n",
    "# Past5WkAvgPts\n",
    "#    Make sure the data are sorted.\n",
    "#    Then use the windowing functions\n",
    "#    see: http://pandas.pydata.org/pandas-docs/stable/computation.html\n",
    "#    window size = 5, minimum required observations = 2\n",
    "df = df.sort(['Team','Season', 'Week'])\n",
    "df['Past5WkAvgPts'] = df.groupby(['Team']).Points.apply(\n",
    "    pd.rolling_mean, window=5, min_periods=2).shift(1)\n",
    "\n",
    "# Past5WkAvgFumbles\n",
    "#    Some of the sorting seems unnecessary\n",
    "#    but is good in case you copy and paste a snippet elsewhere...\n",
    "df = df.sort(['Team','Season','Week'])\n",
    "df['Past5WkAvgFumbles'] = df.groupby(['Team']).Fumbles.apply(\n",
    "    pd.rolling_mean, window=5, min_periods=2).shift(1)\n",
    "\n",
    "# Past5WkInterceptions\n",
    "df = df.sort(['Team','Season','Week'])\n",
    "df['Past5WkInterceptions'] = df.groupby('Team').Interceptions.apply(\n",
    "    pd.rolling_sum, window=5, min_periods=2).shift(1)\n",
    "\n",
    "# EwmaPenaltyYards, centered at 2 Weeks ago\n",
    "#  exponentially weighted moving average\n",
    "df = df.sort(['Team','Season','Week'])\n",
    "df['EwmaPenaltyYards'] = df.groupby('Team').PenaltyYards.apply(\n",
    "    pd.ewma, 2).shift(1)\n",
    "\n",
    "\n",
    "df.head(9)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Takeaway: Pandas data manipulation\n",
    "\n",
    "- Arraywise arithmetic (via numpy)\n",
    "- `apply` functions for custom functions over columns or rows (also see `transform`) \n",
    "- [Moving windows][pd_windows], with time shift\n",
    "- [Groupby][pd_groupby] for operations on grouped subsets\n",
    "- Subsetting via masks, *e.g.* `df.ix[df.Spread > 0, 'Outcome'] = 'W'`\n",
    "- Inspection via `df.head()`, `df.tail()`, `df['column'].value_counts`, `df.describe()`\n",
    "\n",
    "[pd_windows]: http://pandas.pydata.org/pandas-docs/stable/api.html#standard-moving-window-functions\n",
    "[pd_groupby]: http://pandas.pydata.org/pandas-docs/stable/api.html#function-application-groupby"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plotting\n",
    "\n",
    "The Pandas documentation labelled [visualization][viz] is better than the [plotting][pdplot] documentation.\n",
    "Since it's based on matplotlib they leave details to the\n",
    "[matplotlib plotting docs][matplotlibdocs].\n",
    "\n",
    "[viz]: http://pandas.pydata.org/pandas-docs/stable/visualization.html\n",
    "[pdplot]: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.plot.html\n",
    "[matplotlibdocs]: http://matplotlib.org/api/pyplot_summary.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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vRajq/RHwdGPG59RBqdPeEAyWqYSQgQlAj3rktyBMMvMIH4hkeqgdCQbFp5HMm8Cf8/Sz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1AAAg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Nh7FRMpon2WctpmBmZ6lnPrZPZp8XAN/TdT1j/FAbII5vA/h9Xdf/8vlnvwEgg0Hzpj/WNG0C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\n89aI2J79Dn4Z+Lyk50hJ4QpgK2m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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1032c47d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "##\n",
    "# Distribution of the point spread\n",
    "#\n",
    "plt.subplot(221)\n",
    "df.Spread.plot(kind='density')\n",
    "plt.title('Spread 2008-2014')\n",
    "plt.xlim((-60,60))\n",
    "plt.gcf().set_size_inches(12, 5)\n",
    "    \n",
    "plt.subplot(222)\n",
    "df.Spread.hist(bins=60)\n",
    "plt.title('...but not many ties')\n",
    "\n",
    "plt.subplot(212)\n",
    "plt.plot(df.Spread, df.index, 'ko', alpha=0.1)\n",
    "plt.xlabel('All games')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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BEwhzaN5CWO5xJWEC7QejMh8lPC39a8KHEh8iTLeyt8+t2S6EEEII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\nCOEaKzM+slhQptPp0Ol0WL58ORMTE3Q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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1032c4610>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "##\n",
    "# Spread distribution by year\n",
    "#   -- demonstrates pandas.DataFrame.pivot_table\n",
    "#\n",
    "df[['Week', 'Team', 'Season','Spread']].pivot_table(\n",
    "    index=['Week', 'Team'], columns='Season', values='Spread').hist(\n",
    "    bins=25, layout=(2,4), figsize=(12,3.5), sharey=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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8nh77/PTjdng8YUK6kexNN41l/PjxzCg1qCN0rJTuBE6MiHOLx1sAF5G6iR4l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\nqhWcJYFbG5RPBObKF45Z80yZku7qXXb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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1088d1110>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "##\n",
    "# Or cumulative distribution of spread\n",
    "#    Uses the same 'hist' function as above but with different keyword arguments.\n",
    "#\n",
    "df.Spread.hist(cumulative=True, normed=True, histtype='step', bins=100, figsize=(9,4))\n",
    "#- The shape is consistent season-over-season. If you want to see that uncomment the below....\n",
    "#df.groupby('Season').Spread.hist(cumulative=True, normed=True, histtype='step', bins=100, figsize=(9,4))\n",
    "\n",
    "plt.title('Cumulative Spread Distribution, NFL 2008-2014')\n",
    "plt.ylim(0,1)\n",
    "plt.xlabel('Spread')\n",
    "plt.ylabel('Percent of Teams below Spread')\n",
    "plt.axvline(x=7, hold=None, color='lightblue', linewidth=3)\n",
    "plt.axvline(x=14, hold=None, color='lightblue', linewidth=2)\n",
    "plt.axvline(x=21, hold=None, color='lightblue', linewidth=1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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c1iVnptYrbyad7F+O3HlZ0ladXpSHmTweOF7S2cAJ+dm0VwMrplXi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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10a9dd9d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "##\n",
    "# We can do things like explore whether home field advantage exists.\n",
    "#\n",
    "df[['AtHome', 'Spread']].boxplot(by='AtHome', figsize=(7,4))\n",
    "plt.suptitle('')\n",
    "plt.title('Difference in spread for Home vs Away teams')\n",
    "plt.ylabel('Spread'); plt.xlabel('Playing at Home?')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x10a2eee90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "##\n",
    "# ... by Win counts now\n",
    "fig = plt.figure()\n",
    "ax = plt.subplot(111)\n",
    "\n",
    "pd.crosstab(df.AtHome, df.Outcome).plot(\n",
    "    ax=ax, kind='barh', stacked=True,\n",
    "    color=['red','blue', 'green'], figsize=(9,5))\n",
    "\n",
    "# Mom says label your axes\n",
    "plt.ylabel('At Home?'); plt.xlabel('Number of Outcomes')\n",
    "\n",
    "# Shrink current axis by 20% to make room for the legend\n",
    "box = ax.get_position()\n",
    "ax.set_position([box.x0, box.y0, box.width * 0.8, box.height])\n",
    "\n",
    "# Legend to the right of the current axis\n",
    "ax.legend(loc='center left', bbox_to_anchor=(1, 0.5), fontsize=12, frameon=False)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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WS6Tjei7Z4Lfl4zCzdyW9A3yYTZmRtAbwDjAmzeI6FX8gC5qAtpgRKHfC5vkT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uaZwPY5qHYrMLKvXOiSSkm/hZIWSHpO0p/T7qF50NeC3DJH4DupBkEQBEEQBP1kWMeoS7oY3+Rn\nBO4Yz0vnlwOexnOLTzazPZunZXUkTcRzuX8PWA5YC9gd+DZwI76x0MI62ypQselQHXW6gY5m2SZi\n1IMgCIIgaBciRr1xJgOPAp/LnNsdmE/K1FU+WRn6ImkbSTdIekHSy5JuTjt0kpFZmPKRXy3pFUkP\np9CWdVPduZLuSTuXluvUG/oyz8xmmNlzaZOhk4B98B1Bs7uprivpSkmz03G5pHV6a7Q8TklflTRN\n0rxUf/WMmLmojpL0jKSXJF0kaeVMOz1CX9K3AOdLOjXZ7HlJZ2Y3lJK0j6TJqc8XU501a9ghCIIW\noqOj+ekK6zmQmq5D5dGRS8BjMFSICJahTzjqzq+AgzPlg/G86LWmbFcFxuOb8mwDTAKureJg/wC4\nBN+x9J94zvSLgPPwHO3TUztLjZndAEwBPgMgaRl886R34JvujcE3cfq/Gk2NAr4I7AHshOeCvyhz\nXfgOpZviOdP3w/OuH5VVhyVtuD++G+uHgW8CR6e6SBoJ/A64GNgYDzP6de1RB3kQMY350642nznT\nt7Nv9QOWPDdxYqmpOs2c2dx71wza9TlvBRo1Xdi8fRjujrpwR/JSYGtJGyRncWd8050+v6Iws4lm\ndomZPWxmjwBHAq/imyRlGW9mvzezx4BTgXcC15jZhLQL6RnA+wdw8eiDwPrp9x2BzYEvmtk9ZnY3\n7oBvKWmHPtpYGTjAzP6VNmX6OrCHpA0yMi8Dh6bx34hv6rRj5rpY0ob3m1nRzB4zs8uAiZk6a+Nh\nPJeb2TQzu9/MLjKzGf01QND+ZL5oCYIgyJV4/wStwnB31AEws1n4bqJfAQ4EJprZM7XqSVpT0gUp\nnGUWMBtYE3h3hejkzO9lp3NKlXMDFeIhoByfvgnwnJlNK180syeB5/DZ8N54tsIGd6Y2N8mce6Ai\nUHw6fY/B6GmLyjqTgL8A90n6YwoZWqO3xgqFAsVikWKxSFdXV48ZglKpFOUBLmfJq79yOEChUF2+\nWCzLlNIxtOTLG5K0ij71ykPzn9dGy52dnU3Xp9KeUolCobq834P2lh8zhpbSR1p8rdr9aXa5q8v1\nLxZh3Dj/+/S/0frba+XxDZVyqVSiWCxSKBQoFAo0ynBfTNpNWhApaUc8zGIOcIKZXZaur25meyT5\nIr5Ic/NU/jMeUnICMBUP6fgrcFGKF0fSQmBfM7sildfAHfNOM/t7Orcx8ADwPjN7QFIncBOwRm+Z\nX9Ji0ilmdmSVa1OAJ8zs05KOBI4zs3UrZJ4GfmRm51cuJk3jPMjM3pORXx6P29/LzK6ptE0v9qm0\n3xI699LOh4BP4mE3GwIfN7MeDn4sJh36pIU3zVYjaABpcWhJS9OCiragSsOSdnn/FIt+BK1PLCZt\nHAGY2V/xLC+rUzt+u8xHcQf3z2b2IDAXz77SNCTtDGwG/DGdehBYW1LW6V4fDzN5oI+m1pH0rkz5\ng/jz8mDm3EC9xXq0Y2a3m9lJZrYNPvO/3wD1EywFlbMwweATNs+fsHn+hM3zJ2zePizXbAVajC0A\nzOz1OuUfAb4s6U58YekZ+Kx6HghYJcXUl9Mz7gYcj3/Q+A2Amd0oaTJwiaSjUr3zgLvNbGIf7c8H\nxks6FngL8HM8rv7xCh36q3O1OoJFM+k7Adfh3zp8AA8jur+f/QRDgHaYzQqCYGjSLu+fFB0XDGGG\nu6PeIyuJmc3t63qV8sHAL4C7gWeBItBrTHVFO7XO1XpLGHBQOl4HXgLuBb5uZpdUyH4aOBdfuAme\nZ/2IGv1NxbPTTMDHdD3w1Qr5ajr3Za9adWYBH8GzwawGTANOMrNLCZpOZ/xHyJ12tnk7rMXzHLOV\nZzvzVyTDiBFN7b4ptPNz3mwaNV3YvH0Y1jHqQXUqY81bkYhRD4IgCIKgXYgY9SAIBpWIacyfsHn+\nhM3zJ2yeP2Hz9iEc9aAa1UJUgiAIgiAIghyJ0JelpDKVYj2pFdudVgiNidCXIAiCIAjahWEd+iLp\nnZLOkfSYpFclPSPpWkmVO4Tmwa3AyMF20iV1SlqYOWakMW8xwP0slLTPQLYZBEEQBEEQ1KbtHXVJ\no4B7gE8A3wU2x7ek/xPws6VodxlJ/baPmb2e85b3mwIjgd2BEcB1kt42wH3kkr8hbaoUtCgR05g/\nYfP8CZvnT9g8f8Lm7UPbO+rAT/Gt7bc2sz+a2aNm9rCZnU/Kiw4g6VhJ/5I0N824Xyjp7ZnrBUlz\nJO0q6T5886ONJY2QNF7SS5LmSbpR0qa9KZOZ6e6oaHcHSfel/m9KHzDKdTaQdJWk6en63ZJ2r3P8\nM8xshpndBRyLO+0flLR+rTYlTZX0fUkXSHpZ0tOSjsteT79elsb0REX9z0t6XNJsSVdKWr3i+kGS\nHpA0X9LDko6WFidDS20eJukKSXOBUyQtJ+lcSc+mb0emSTqtTlsEQTCAdHSUt1wfmgfSEud8O/v2\nODo6mv2EBEEw2LS1o56c4Z2B881sXuV1M5udKb4JHIXPQH8R32nzvIoqKwE/AA4BNsHzeHcD2wB7\npjrz8Fnrlfqh6or4bH8B+DCeI/znmeur4N8A7IR/uLgcuELSRv3oA/zDRbm/Vets8xjgX/jmQqcD\nZ6SNhwC2Tj+/in8A2CZTbxTwWTxH+ydT/VPKFyUdkso/ADYGvgV8Bzisov+xwDXA+/APXUcBe+G7\nkW6Yfj5UtwWCQSPy7uZPs20+c6ZvZz9UD6h2vrPpetV7zJzZ1MdjwGj2cz4cCZu3D+2+4dGGeFjG\ng7UEzeycTHGapO/gO3gekDm/LPBNM7sXQNJ7gT2A7c3slnTuy7gDvz/wqzr1XA443MweTW2cBVyU\n0W0yMDkjf6qkPYB9yTi/vVDe1XN13OmdDdxpZi/U2eb1ZvbT9PtPJB2Jhw7dbmb/SRPgs6qE8ywH\nFMxsTur/F/jmS2VOAI43sytS+SlJp+OO+vkZud+Z2SJbSFoXeKRsb+AZ4B81bBAEi0gLdpqtRhAE\nQe7E+2/o0dYz6vQjdjqFntyYwjtm4zPMy0samRF7A5iUKW+Ch9UschTTLP2UdK1eFpSd9MR0YAVJ\nqyXdVpF0hqT7U4jNHHw2+911tD01yb8AbAR81sxeqLNNo6czD/Ac8I46+n2q7KRnxrRmGs87gHcB\nv0hhP3NS/6cB61e088+KcjcwWtIjkn4iabdsuEyWQqFAsVikWCzS1dXVI+auVCpFeYDLXV1dLaVP\nf8qFQgmplAkb8HKx2Nry5TrN0mew7kcrlytt32x9apWz96t8/wqF6vLFYqvKd7WYPu0rX+/z087v\n83Yp+z0pUigUKBQKNIyZte0BdOAhLf9dQ+49wHygC9iWxSEVC4F1k0wBmFNRb0/ceV+24vwtwJnp\n987UTkcv5WrtVsr8DHgC2BsPAdkAzx5zUR9jKrexFbAesGrF9ZptAk8Cx1bUmwicmykvBPapkCkC\nUyrOLRon8M5U70u4Y97j6KvtdH5V4DN4KMwLwF/AU4lmZCzIl4kTJzZbhboYSs9Gs20+hExZnSoD\nbLbN+8NQuT/tZPNWp973X9g8f9K96bev29Yz6uYpEK8Hvilplcrr5RlrfCZ5eeAYM7vDzB4D1qmj\niwfxbx0+kmnzbbjj+8BSqp/lo8B4M7vSzO4DnsU/TNTDk2b2pJnNHcA2s7yOhwTVjZk9j8/Mb2hm\nT1QeddSfa2aXm9lheDabHfAPGkETiZjG/Amb50/YPH/C5vkTNm8f2tpRTxyOh8D8U9K+kjaStLGk\nb+CLJAEexcd6jKT1JH0BX7TYJ+bhKlcBF0jaTtLmwG+Al4FLB3AMjwD7SPpApo8VB6nNWuFCqpCZ\nCuwkaaSkEf3ofyzw7ZTpZSNJ75N0gKTv9tm5Z+f5vKRNJG2IrwV4GY9VD4KaWMRnBkEwTIn339Cj\n7R11M3sS2BK4Ec9a8i/gr3g2kqOTzGTcMT8WuB84GDgOj9Hu0VyVLg4C7gSuBu7AM8PsYmYL+qhX\nT7vZc8cCM4Cb8Uwtt6Xfa9HXX2Rvbdb6K7YKmW8BY/AFtHf3IrOEPmb2K9zOX8bj/v+OZ4+pNaM+\nGzget/XdeMaaXc3s1Rr1gkEmG4MX5EMr2LzZKQgH86g+vlKuOizNMaI/UyctTCs858ONsHn7oPj0\nFbQjkiye3XwplUrxdWnOhM3zJ2yeP2Hz/Amb50/KyFMrqmHJeuHsBO1IOOpBEARBELQLjTrqbR/6\nEgRBEARBEARDkSHvqEsqSprSbD1aHUmdkham3V6RVEi5z3uTH5Xkt8xPy6CZRExj/oTN8ydsnj9h\n8/wJm7cPbeeoS+pODuIvq1w7PV2bkDl9JrB9fhoODLUc5X60c7Wkv/RybZNkr53wHOsjU8rLepgG\njGRxZp0gCIIgCIJgAGm7GHVJF+N5tUfgjuW8dH454GlgATDZzPZsnpZLj6QCcJ6ZvXUp29kTuBLf\naOipimtn4RsOVe4WOmD9DxYRox4EQRAEQbsw3GLUJ+O50T+XObc7vvtoCRbnAa8MfUkz8hMkHSXp\nGUkvSbpI0soZmZKk8yWdKukFSc9LOjO7lb2kFdIM/tOSXpF0p6RPZq4vL+lcSc9KelXSNEmnZa6P\nkDQ+9T9P0o2SNk3XOoGLgFXSjPdCSSema1+SdJek2UmvP0hauw9b/Ql4Hk8zuQhJy+OpEy8q95kN\nfakk6XurpD9LWrky9CVTfwdJdySb3CXpAxXtHJxs8YqkKyV9Q9LCzPV3S7pK0otJ5kFJ+/UxvqCF\niG9Tg2p0dDQ/lSFS03Wo5+io+gYO2pnBfC/GO3fo066OOkA5T3eZg3Gns55p1o8BmwI7AvsBe7Pk\nBkj7A68BHwa+iedkzzqMF6d2vgBsBowHJkjaIl0/Etgr1dkw/XwoU78b2AbYE/ggMA+4TtJKeBjK\n0encyHT8T6q3PHACnl/8U8AawG97G6iZvZl0K2Q/aAB7AKuncfRJ+iDwdzzcZQ8zm9+H+KnAt/Hc\n9i8Cl2Ta+TBwIXAe8H78Q8Q4et6zn+K56jvxe3Q0MKuWjsHgU09MY/zTGFiGShzpzJngG94374D6\n5CZOLDVVz5kzm3uvmsFQec57oxUd9aFu86FEOzrqwh27S4GtJW0gaSSwM+781vO1wsvAoWb2sJnd\nCFyGO+1Z7jezopk9ZmaXARPLMpI2AD4P7Gdmt5jZVDM7H/gz8PVUf13gkXT9GTP7h5mNT/XfizvK\nX0vX78Nnt98G7G9mr+Mb/5iZzUjHK/iJi83sutTnXcBhwMdqzKr/KumzU+bcV4DrzezZvgyVdge9\nFbjZzL5gZm/0JQ+cYGZ/M7OHgZOAjTO6HZn6PDPZ9Zd4WE72nq0L3GpmU8zsKTO73syur9FnMEzp\n+dkzCIJgYIh3S9AqtKOjDoCZzcKdvK8ABwITzazebeYfqAhwng6smW0eD6+hF5ktcefyAUlzygew\nG1CO9+4GRkt6RNJPJO2WmdHeBFgI/CMzntnAlHStVyRtmUJDpkqaDdyVLq3bWx0zewz4G+kbiOQ4\nfxJ34PtiBXw302vM7LAasmWydpuefpbtthG+y2uWyvI5wA8k3Sbph31llSkUChSLRYrFIl1dXT1m\nCEqlUpQHuJwle71UgkKhRKFQYtw4KBa93NWVv77FYjmEoER2h8lCoT3lx4zpbCl9GpWH5j+/i0t9\ny3d2djZHv0y50n6S/31Vk3ebt7f8mDG0lD7S4mvV7k895a4u/3soFmHcOO+vWPT35dI+H11di9sb\nN27x+7csUk97Szu+KNcul0olisUihUKBQqFAw5hZWx24A3x1+n1H4Fk8pOSzmesTMvJFYEpF/QkV\nbVbKTATO7aPf/YA3ccdz/YpjrUydVYHP4OEcLwB/wR38PYE3gGUr+rgFODP9XgDmVFxfJbVzCbAd\n8F/AR3Gnf/sadvsSHsM/Avge8O9s/3ioyUKgI9P/3DTuJ4B1K9obleS3rFa/F5l7gGJFO18BFlac\nWwc4BPg98Cowtsp4LGg9xo7Nt794DtqDlrhNLaFEbdpEzSHPQL5bBvO9mPc7NyGD+tMAACAASURB\nVGic9Ez12+9t1xl1AZjZX/EsL6sD/9eP+kubLuTepMNaZvZExVGeRcbM5prZ5eaz0bvj2Wo2AB7E\nv834yKIBSW8D3gc8kE69Bixb0e/G+Fi/Zx4y8wjwzjp1vhx3er+Ez6z/2jx+vS/MzAr4B4iJkt5d\nZ1+98RAej5+lsoyZPWtmF5rZfsCJwNeWst9gAKichQkGn7B5/oTN8ydsnj9h8/ZhuWYrMABsAWAe\n110vtYLP1ItM+QPCI5IuAbolfQt33DvwWeXHzexKSccCz+F5xl/HF6e+DDxjZq9Kugq4QNLX0vlT\n0s9LU19TgZVSjvNJwCv4Ys4FwBGSfoqHyfywngGb2XxJl+KLN1ejdthLlgOBXwMlSZ1m9nQ/6mY5\nF7hF0nHAVXh++73IfHCSdA5wLZ7V523ArsD9DfYX5ExnZ779mS3tZ+4gCIIlGch3y2C+F/N+5wb5\n044z6kbGsUuz1nN7u15HuVGZg/CMKWfgM+QT8HCUqen6bOB44A7gbvwDxa5m9mqm/p3A1UlmJWAX\nM1uQxnUb8HM8o8sM4HgzewF3mvfCndcTgGOq6Nobv8Sd9FvNF3tWUm3MpK9sDgRuA26S9K6+5Hs7\nZ2a34yEtR+IfYD6N229BRl54Vpj7gRvwOPcDaw0sGHw66/iPEP80BpZ6bN4uNDvtYb06lNcFNOsY\nMaK596kZDKXnvBqt6KgPdZsPJdpuw6NgaCHpx8AOZvb+ftazeHaDIAiCIGgHhtuGR0GbIul4SaMl\nbSjpUDyd5UXN1iuoTcQ05k/YPH/C5vkTNs+fsHn7MBRi1IP2YivgW8Db8Wwy3zWzc5urUhAEQRAE\nQesRoS9BTSR1A6ub2R7N1qVMhL4EQRAEQdAuDPvQF0kLaxwRXlGBpM467HYAcASetaZcryTpvOZp\nHgRBEARBMPQZMo46MDJzHFLl3NFN0quVuZXF9lkLz2JzGz3t9gczm2O+c2owjImYxvwJm+dP2Dx/\nwub5EzZvH4aMo25mM8oHno+88tzHJd0tab6kJySdLGn5cn1JUyV9X9IFkl6W9HTK901GZqGkQyRd\nJmmupMcl7V8hs46k30l6KR3XSNowc/3dkq6S9KKkVyQ9KGm/zPUTky6vSpouaXxF+9+W9JikeZIm\n97f/Cpu9nrHR8/jOpdlzM1LO925JE1L73Xj+88Mzs+7rSlpG0q+SbedJeiQtHFVGt25JEyQdJemZ\npN9FklbOyGwv6XZJcyTNknSHpM1q3H6G2jtnqI0naA86OpqfRnHQ0jNKdaZnbK6eHR3NfgqC4cCk\nSc3WIKiXIeOo94WknYHf4BvubIrvzLkvcGqF6DF4fu8PAKcDZ0j6UIXMicCVeF703wMXlXfslPQW\nYCIwD3dmP4TnAf+LpJVS/Z/iOdM7ky5HA7NS/c/gCy2/AWwIfArPsV4exyl4/vXD8M2OTsM3Tdqt\njv4XOcMNkM0hfyTwDzxTS3nW/Rn8WXoG+Cy+g+r3ge8lfbN8LI17R2A/YG/gqKT/cvhGSH/H7ftB\n4MdArR1Uh5xj24rjiby7+ZO3zWfOBN/EfugdUK9sZ1P1nDkz11veEsS7JX9mzepstgpBnQyXrC/f\nB84ws/Ls9JOSvgv8L74pUZnrzeyn6fefSDoSdyhvz8j82swuBZB0Au5kfgzfUfTzAGZ2cFk4pSB8\nHne6/wisC1xuZlOSyFOZtt+DO9Y3mtkbuON7d2pnFfyDxCfM7NZyXUnbAofju3nW6v+yuqy1JEoH\nZjZb0mvAvPRNRZmFwNhMeZqkrYAv0DP94svAoWkl6MOSLsNt/CN8J9K3A9eY2ZNJ/pEGdQ7anLTw\nptlqBEEQtCzxnhz6DIsZdTwl4A9SOMUcSXOAS4C3SHpnkjFgckW954B3VJxbJGNmbwIvAGtm+lmv\nop9Z+G6gGySZc5Iut0n6oaQtM23/AZ9tf1LSLyXtK2mFdG3TdO36ivYPBdavo//1GWQkHSrpn5Jm\npL6PBt5dIfZARbqW6ST7mdlLQDc+xmskHVP+tqIau+xSoLOzSGdnkXHjuigUShSLPhtdKpV6xOC1\nQ7mry/UvFmHcuFLLjaerqyvX/rIUCiWkUiZEwMvFYvX6Q0e+lKs+/bk/bVeGuuTLvzdT35733suF\nQnX5YnEoyHe1mD7tK99XuVTy9gqFEuPGdS36f9PV1QJ/n0OwXCqVKBaLFAoFCoUCjTIk0zNK2hdf\nBLlMKs8DxlF9RvkpM3tT0pPAeWZ2dqadicAUMzsylRcC+5rZFRmZRfUk/QzYGg/pqGSmmc1MddYB\ndgN2Aj4NnGZm49K1FfEZ5p2AzwCzgW2BzfGQkx2AaRVtv25mT9fbf29I+gmwmZmNqTjfTSY9Y6Vd\n0rn9cCf7W/iC1NnAN4G9zWy9au2kc0XgM2a2eebcFsAuwK5p7HuZ2Q0VOvXw98svnKFCK46nVCrl\n+hV1zBQ1w+aLw0SGHHUOLm+bVzKk70EvNNvm7Uyj78lCoUR3d+fAKxT0SrpX6m+94RL6cg+wiZk9\nMcj93I2Hn7xoZi/3JmRmzwIXAhdK+jYePjMuXVuAh7FcK+lHwL+Bj+DhNwuAUWZWWpr+B4DXWPLZ\n2Q64IxM6RFrEWvkGqflGMbPJ+DcXZ0i6FjgQuKHvWsFgE/9I8ydsnj9h8/wJm+fPqFGdzVYhqJPh\n4qifBFwj6Sl8Vv0N4H3ANmb2nT7qLYrNrpNLgOOAqySdCDyNh37sCfzczB6TdA7uiD+Kx2TvCtwP\nIKkALAvcCczFZ8ZfAx41s7mSzgLOSplUbgZWxReMvmlmF9bTfz/G0hdTgQ9Keg/wCvAi8DBwoKRd\ngMfxDwzbA5Wz+L3aU9J6wNfxBaXP4eE6W+ALcPtkqL3nh9p4GmG4z6YHQRDUotH3ZPyPaR+Gcoz6\noqc3hU3sDozBs6jcAXybngs5e2uj7r8CM5uPO6dP4B8IHsTDQVYDXkpiAs7DnfMb8BjtA9O1mcBX\n8KwnU/CMKPuY2VOp/ROAIu6M35fq7536q9V/PbkEehtv5fmz8A8QD+ALVd8NXIDH2F+Kf9BYF/if\ninrV2s+eewV4b9L94aT7b/AMPH0y1F46rTiebAxekA/NsHmz0ygO1lH/2EqDpkM9x4gRud/yphPv\nlmZQarYCQZ0MyRj1YOhTGaMeDD4RR5o/YfP8CZvnT9g8f8Lm+dNojHo46kFbEo56EARBEATtQqOO\n+lAOfQmCIAiCIAiCtiUc9TZC0saS/iFpvqQnejtXRzuFlOd80JFUknRuRfm83spB6xJxpPkTNs+f\nsHn+hM3zJ2zePoSjPshI6pa0MHO8IGmCpI0aaO5kPBvMRsA2fZwbdJKznx3XbEl3SNqtQnQv4L8z\n5coFpf1asBsEQRAEQTBcCEd98DHgRmBkOj4JrAxc2UBbGwK3mtk0M3uxj3N5MY/F49oK3+joCknv\nKguY2SwzeyVnvYJBIBYe5U/YPH/C5vkTNs+fsHn7EI764CNggZnNSMe9QBewcdqFFEmj0qz0lj0q\n+rl9yr/jOcVPTOfHVjl3YpL9kaSHJM2T9KSk08t99aqk9HVJj0laIOlRSV+tY2yWGdejwAnACsBm\nmXb7FdoiaR9Jk5PuL6b6a9ZbP+g/8Q1o0BsdHc1Pq9hwOkap6TrUe3R0NPtOB0HQqoSjng+LVvlK\neiu+kdHktAtpvayF5xY/C5/BPqvKuf9JsnOBg4CNgcPwzYe+36ty0t54bvezcSf7HOCnkj5Vr3KS\nlkt9zgf+lblUd2iLpJHA74CLk+7bA7+uV4egMep11BuNafT9uYJGaHYc6cyZvp19Ox7QWL2JE0u5\n6zqznl0uhjDNfs5blcF8d4bN24fhsjNps9kls3hzFXzH0MpY7j4xs+clvQHMNbMZ6fQrVc5hZidn\nqk6TdBrwLeDEXpo/Dvi1mZV3AP2JpK2A7wDX9KHWKplxrQwsAA4ys3/3Z2wZ1safycvNbFo6d3+D\nbQVBEARBELQ1MaOeD38D3p+ODwJ/BW7IxnIPJJL2lXSLpOnJkT4b3z20NzYGbq04dyuwaY2u5rF4\nXKOBHwDdknZtTHMmAX8B7pP0R0mHSlqjN+FCoUCxWKRYLNLV1dVjhqBUKkW5j3JXV4lCoUSxCOPG\nQaHg5bJItfpZ+tuf7/bo/VW7XiiU6LkjZMiXMhuSNEufMs1+XhsqQ//kU7mzszN3faE1nrdmyY8Z\nQ0vp0yryZQbj+cuS9/M+XMqlUolisUihUKBQKNAoseHRICOpG1jdzPbInFsGeBn4sZmdKGldYCqw\njZndnWSWx2eo9zWzK9K5KcBlZnZSpq0e5yR9CLgZKALXAbOATwNnmdkySaYAnGdmb03lF4HjzOzi\nTLtfBX5kZlUd5co2MuevBVY1s+1TeSIwxcyOrKecGcMngT3wxbIfN7PJFf3EhkcDRLHIon8Yg0Ha\n5GHwOggGDWlxGEnb0UbKt5GqQY7Eu3NoERsetTa9/aWtnH6+kH6unbk2usG+Pgo8a2anmNndZvY4\nMKpGnQeB7SrObUdjYSfG4nE1hJndbmYnmdk2wHN4TH/QZCpnYYLBJ2yeP2Hz/Amb50/YvH2IGPV8\nWEnSOwEBI4Bv4s7sBAAzmy/pduA7kh4HVgNOq9JOtU9ileceBtaR9EXgdmBnfDFpX5wJXCbpbjyV\n5C7AF4G9a9RTZlwrA5/AZ8LHVeinesppJn0n/JuAGcAH8JCdiFMfRAY7S1fMCAVBEPSfeHcGEI56\nHhjufE5P5Tn4DPZnzezvGbmDgV8CdwGPAYcD2evltqq1v7hgdo2kM/EUkCsD1+OLSM/vrZ6ZXSXp\nCHxRaRcehvMNM/tTjXG9JTOuBaneCcAZFXJ9bXCULc8CPoJ/kFkNmAacZGaX9qFHsJTU66hH3t38\naQWbt2vSHqNR3TsHVpE6GDEi9y5bilZ4zocbYfP2IWLUg7YkYtSDIAiCIGgXIkY9CIJBJWIa8yds\nnj9h8/wJm+dP2Lx9CEc9CIIgCIIgCFqQIRX6Ik88OsXMjqghMzmbDjBYjKS5wOFmNr4O2RJ92FtS\nEfiMmW0+oEoSoS9BEARBELQPLRX6IunrkuambeXL51aQNC/l/c7KbihpoaQxA9B1PdvV7wX89wD0\ntQhJo9IYthzIdvvorzv1t1DS65KekTRe0loD0Hw9NqxX9kxg+6XWKAiCIAiCYBgyWKEvN+EZQbbN\nnNsWz+qxYcVuk2OAV1lyZ8xBwcxmmdkrg9R8XvkRDE+jOBJ4D3AQbsdf59R/XZjZK2Y2s9l6BAND\nxDTmT9g8f8Lm+RM2z5+wefswKI66mT2Kb1STnSUfA/wVuJue+a/GAP8ws9ck7SLpZkkvSXpR0nWS\nNs62LelESVMlvSppuqTKEI1lJZ0q6QVJz0s6U1qcpEtSSdJ5mfJUSd+XdIGklyU9Lem4ij7/S9Lf\nJM2X9EDSc66kA5LIE+nnXWmW+6ZUbxlJJ6Q2X5U0WdKemXbLM/H7SLpR0iuS7pe0Uw0TC1hgZjPM\n7DkzuxG4DPhQhd4HJX3nS3pY0tEVttgw2WO+pIckfWqJjmrbOyu7o6SZkr6WysXsNyjpm4AJko5K\n3wK8JOkiSStnZLaXdLukOZJmSbpD0mY17BG0OfX8z4j/K61LR0d5a/TWOZAaqufb2ff/6Oho9l0I\nqpH3eyPeU8FAM5iLSSfS01HvTOdKvZwHn4U/G9gG+DjwMjBB0vIAkj4DfAv4Br61/KeAOzJtCdgf\neA34MJ6P+2h67mxZLVzjGOBf+AY7pwNnpM13kLQMcGVqc1s83/k4YIVM/Q+mnzvjs9z7pPJReG7y\n44H3pXaukPT+iv5PwfOXb4HnUf+dpFXom6zDvT6+SdFdmXOHpHZ/AGyM2+07wGEV4wJ38A8GxgIr\nZtqoZW8ysvsCVwCHmNkv+tD7Y8CmwI74fdkbtxMpVOoqPH/8Frhdfwy82bcpgjwYzLy7A+moZz6L\ntj3tkut45kwwa60DGq3b2VC9mfHdYcNUPucD+Tccjnp12uXdEgzuhkcl4LzkZC+LO85fBZ4GzgFI\ns+Uj8VAZzOyKbAOSDsad9W2A2/Awj+nAjWb2BvAMPkOf5X4zK6bfH0sO647A7/rQ9Xoz+2n6/SeS\njkx1bsd32/wvYCczm570OpqeoTr/ST9fNLMZmfPHAWeaWbnvsZK2T+e/nJE7u7y5kKTvAQcA709j\n7o1dJM3BbbsS8CfgwMz1E4DjMzZ9StLpuKN+Pr4J0ybAKDN7JjOumzNt1GNvpRn0M/CFo3/pQ2fw\n+3loWgn6sKTLcFv/CHgb8HbgGjN7Msk/UqO9IAiCIAiCIclgOuo34Q7kR/CZ+xfM7AlJzwMbyLee\nHwPMI83SStoA+CE+k/qOVG8ZYF3caf0DcCTwpKTr8a3mrzaz11KfBkyu0GM6sGYfelar81zqH3w2\n+rmyk574J7Cwr8FLehuwFkvG3t8C7FZxLtt/uZ++dAb4G/A1/FuIQ/A49XcCL0l6B/Au4BeSfp6p\nk73fmwDPlp30xJ30HFctewtfnPt14GNmVnW2vYIHKtK1TCetZTCzlyR1A9dL+iseKvVHM3u6WkOF\nQoFRo0YBsNpqqzF69OhFswTl+LsoD1x50qRJHH300QPYHsya5eVx40pMnQqjRnWmnVJdHjoplWDq\n1BLjx3sZYLXVSoweXbu/UqmTceN6tgdw4IElCoXWl+/uhvHjO1tGn97koUSp1FrPaw/t+lE/G7vb\n3/6kRT2WW2DsWOjsXFJ+8b0N+dVW6+rx/i7XafT+d3X5+2XUKH9ep07164WCv18G+nnLu79WfJ9H\necly+fepU6eyVJjZoB3Ak3g4RRH4deb8bXjYw++BP2fOP4hveb8DsBEebvEacEBGZkXc0T0beAqY\nArwlXZsInFuhQzcwIVPuIZN0PLaiziIZPCzjqYrrywNvlPUCRuEO7pYZmbelc2Mq6p4M/LO3eun8\nQmCfPuzaY0zp3E3ADen3d6Y2vgSsX3nUO6467X0NMBW4sIqeRTx9Y19695BJ57YAvp3anwd8skrb\nFuTLxIkTB63tsWMHRsbMbCg9G4Np84GkJU3eoFKN2rwlbdAmVNp8IP+G631vtGt/jdIu75ahRHqu\n++1LL8PgUo5TH8Pij9Ck33fE49DLCy9Xx53zU83sJjN7GHd2e8z6m9kCM7vWzI7FQ2I2w2ftB4uH\ngLUrUh9uTc/4/vIM87IZPWfjM/PbVbS3HXD/IOg5DthJ0lZm9nzqe0Mze6LySPIPAutIelemjQ9S\nsW6hDns/gd/fT0rqKzZ9UZM1Bcwmm9kZZlZ+bg6sUSXIgexsV5APYfP8CZvnT9g8f8Lm7cNghr6A\nO+r7487ZQZnzf8OzlKzK4oWkM/FY769JehZYB8/D/Ua5kqQC7gzfCczFZ+VfAx4ti1A7RWJ/ZW4A\nHgbGp2ww5QWvb7DY6ZwBzMfjxqcBr5rZy0n/kyQ9CtyDz3BvB/S6IVOjmNnfJN2DLxj9HP5NxnmS\nZgF/xmfLtwTWNrMf4ekdHwJ+LemYNK4f04C9zexJeR78kqQLzOzrfajaq+0lrYeH0VyFf9BYH59d\n/2lvdYKhQT3/M+r9v2JW87NgEAQtzED+Deftj4b/Gww0ecyoLw88n5nJBY/TXglfWHg3gJktxB3B\nLfDwivPwjCULMvVmAl/Bs4JMwTOG7GNmT6XrxpIztpXnqslUskgmfV2xNx4CcidwMZ5NxfD875gv\ntDwSXyz7LIuzqZyLO+tnJH0/nfTNbvrUyBuptzH8D7C3pPXM7Fd4JpcvA5Nwm32VlEoyM65l8DUC\n3fj6gIbsne5vJ7BrJi6+Httnz70CvBf/EPdw0uk3eCaeoMlk4+4GmoF01IcSg2nzgabZ6RiXSM/Y\nsE6lhuqNGNFc+7czzX63tHN/jdJO75bhjmL2qf+k9Ir3AluZ2b3N1mc4Isni2c2X7OKuIB/C5vkT\nNs+fsHn+hM3zRxJm1u/co+Go14GkvfHZ3kfxBaBn45PSWzZTr+FMOOpBEARBELQLjTrqgx2jPlRY\nFc/z/W48HGQivklSEARBEARBEAwKgx2jPiQws/81s43M7C1mto6ZfcnMXshTB0ndkibk2WdF/yVJ\n59Uhc24/2/2opMmSFki6aem0DAaTiGnMn7B5/oTN8ydsnj9h8/ahbRz1ao6qpE9JekXSSc3SayCQ\ntIKk4yXdm8bzoqR/SPqapBWS2BF4Bp1ynZqO8wD3X88i3L2A/+5n9+fg8f7rA/v0s24QBEEQBMGQ\npW1i1CVdDKxuZnum8peBC4HjzWxAHNZmkBzh64HRwAnAzcAsPKf5scB3zOzvVeqV8I2ClirVY739\nS5qY+jtyafqr0v9M4Bgz6+5nvYhRD4IgCIKgLWg0Rr1tZtTJ5N9Oeb8vBA7OOumSviTpLkmzJT0v\n6Q+S1s5c75S0UNIOku5Is8d3SfpARubtkv431Z8v6XFJR2WuHyvpX5LmSnpG0oWS3l5v/SocDWwP\n7GhmPzGzf5nZU2Z2Gb6x0L2p3UXfKEjqTnUOT+N5U9IoSY9J+lYPo0nvTTKjl6b/xLKSTpX0Qhrf\nmZKy96XHLH+aqT9d0tPJ1ndK+mS6NkrSQuDtwEVJxwMkLSfpXEnPSnpV0jRJp/VhvyBDfJsZLA0d\nHc1Pqzhg6RmlputQz9HR0ey7HgRBK9NOjroBknQycDKwl5ldWiGzPD4rvAXwKWAN4LdV2joV36J+\nS+BF4JLMtZOB9wG7A/+F5yJ/NnP9TeAoYFPgi/jM83n9qF/J/sCNZnbPEgN25pSLLA49ORL4B3AR\nMBJYC5gG/JKeG0uR+r/XzCYtZf9Ksq8BHwa+iTv5+2Wr0DM85mLgY8AX8B1NxwMTJG2R9F0LmIfb\ncyTwh/T7XqndDdPPh3rRPahgMB31wYxpzHzeCzLkHUc6cyaYDY0DGqs3cWIpVz1nzsz1FrckES9d\nncF8L4bN24d2yvoi4BO4A7y7mV1XKWBmF2eKUyUdBjwgaW0zey5z7QQz+xtAim+/JSOzLnCPmf0z\nyT5d0cc5meI0Sd8B/g84IJ3rs34VNgTqWUSpdGBmsyW9BswzsxmLBHym/SRJ25rZHZKWTXqdMgD9\nA9xvZsX0+2OSDgF2BH63hLLSBsDngVFmVrbB+ZI+AXzdzA4HnpdkwMvlcUhaF3jEzG5JdZ7BP5QE\nQRAEQRAMK9ptRv0+4DGgmA03KSNpS0lXSZoqaTZwV7q0boXo5Mzv09PPNdPPnwH7SZqUQju2r+hj\nB0k3pnCO2cDlwPKSRtZTvwoD9pHZzP4NXIPPogPsAoyg5zcGjfZv9LQbuO3WrCIL/m2F8A9Kc8oH\nsBu+cLQ3uoHRkh6R9BNJu2XDa7IUCgWKxSLFYpGurq4eMwSlUmnYlEslKBRKFAolxo2DYtHLXV0D\n21+WgR4PgFSiWKx+vVAo0XPHyNKwkB8zpjNXfXq7P21Zhv7Jp3JnZ2fu+pbtn70fhUJ1+WJx6MmP\nGUNL6dMq8tWuD1Q5S97P+3Apl0olisUihUKBQqFAo7TTYtJuoAM4FJ8BngN8wsxmpeurAFOBG3Bn\neQbwDnxxZGdaENmZ6q5hZi+leqOAJ4Cty+EfklYHdsVni/cFLjOzgyW9Bw/DuAAPqXkR2Cr9PsrM\npvVVv5dxTQKeN7Od6xj/6ma2RypXXdwpaTfgUjys5DfAfDP7Uh/t1tv/Ev31pZOk/ZIemwKvVzQ3\n38ympzpzgMPN7NeZdlcFdsbt91ngX/i9toxMLCatQrHIIuesnZBE3M/mIy0OG2l72mQwbaJm0ATi\nvTi0SPez35Oz7TSjDv7B4jmgE1gF+Kuk8lKcjYHVge+Z2S1m9gjwzkY6MbMXzew3ZnYQ8FXgQEnL\nA1vjcfDHmNkdZvYYsE4/6lfjUmAnSVstMVhpGUlv7aXea1QPXboemA18A4/Tv6jPwTbefy3uxWfU\n1zKzJyqO6X1VNLO5Zna5mR2GhzrtAGzQoB7BAFE5CxMMPmHz/Amb50/YPH/C5u1DuznqwKIQj05g\nBeCmNIM9DVgAHCFpfUm7Az/sb9uSTpL06ZQtZRM8t/fjZvY68Chus2MkrSfpC/jix3rrV6MLuAW4\nUdIRkkantvfBvw34QC/1pgIflPQeSWuUw0PM7E3cOT8NeMbMasWf19v/ohj5PsjG0T+Ch9x0S/pM\nuidbSzpO0t69NuBZdT4vaRNJG+ILWF/GY9WDGnR2NluDxohZoyAIgp7EezGA9nLUe2QUSYsPx6Ri\n2Rk9EM8Ycj+e/eWYbJ1MO9XaLvMqvvhyEu7ArgLskfqcjDvmx6Y+DgaOq7d+1UGZvYYvkv0R8BXg\nNuBuPCvNZSxeSFmZUeUsfFb9AeB54N2ZaxfhM//ZxbUD3X+1c5Xlg5IOZwAPAhOA7fAPGb0xGzge\nuCPpsQWwq5m9WmssweA66p3t+imgjWmGzZudrnCgjkbHsnhdQD7HiBG53+KWI94t+RM2bx/aJkY9\nqB9J2+IfEtYzsyE5Ex0x6kEQBEEQtAvDJUY96AP5BkPvwkN+rhiqTnrQHCKmMX/C5vkTNs+fsHn+\nhM3bh3DUhxZfxMNKOvDwnCAIgiAIgqBNidCXoC2J0JcgCIIgCNqFQQl9kbSwxlEr9V/LIGlUhe6v\nSnpY0reGct9BEARBEARBe1Ir9GVk5jikyrmjB0+1QWNnXPf34ikMT5P0uWHQd0sjaYVm6xD0TcQ0\n5k/YPH/C5vkTNs+fsHn70KejbmYzygeey5pM+a3A/0qaLmmupLtT7vJFSJoq6QRJ3ZJmS5om6XOS\nRkj6Q9pW/mFJO2TqdKZZ590lTZI0X9I/JW2ZkemQ9FtJT0uaJ+k+SYU6x/xiGsPTZtaN73q5KFe5\npG0k3SDpBUkvS7pZ0ocy1y+SNKFinMuksdX64FKr7+4qbRclTak4d6CkKWlm/t/yHULL194u6WeS\nnku2e6D8YUDS6rXsJqkk6XxJpyYbPC/pzHKe9iSzgqTTUzuvSLpT0icrvX8dKgAAIABJREFU2tlU\n0p/SfX9e0qWS3pm53i1pgqTvSHoGz4OPpH0kTU76vZj0WbOGXYNEI+/eanXiHR4AdHQ0P81iv9My\nSktVf8yYxup1dNQ0Z9BGxDswaBWWZjHpKsCfgJ3wXNeXA1dI2qhC7mjgdtwh/QPQDfwWuBp4P76p\nziWSVqyodxaeT3tr4AngGkkrp2srAf/Ed63cFDgHuCDr8PeBAOR8FNgEz9ldZlVgPJ7vexs8H/q1\nWrwD6i+AXSSNzNT5BL4L6v8uZd/VcpX3bED6OvBz4FfA+4BdcIef5ExfC3wMKOC7tR6FbwQFsCL1\n2W1/PEf7h4Fv4vdwv8z1i1MfXwA2w+01QdIWSY+1gL8Dk3Eb7ojb9aqsww98PI3hk8COyaa/S+1v\nDGwP/LovewQ9GUxHvRXz7vZ8nIYezbb5zJm+vX07HbC0bXQ2VG/mzKbeqrZmoJ7zgXwfDHVHvdnv\nlqB+qm1BXxdp85/JmVOnStoD2Bff8KfMdWb2cwBJY/FsJA+Z2W/SuR/iGwdtBtyTqXeSmd2YZA7C\nd6b8IvArM3sO+J+M7IXJ2fwCizc/6o2/S1qI72q6PPBjM/u/zLgmZoUlHQl8BtgVuMTMbpf0EL65\n0ulJ7GDgKjN7cWn6hrp2/zwh1evKnJuUfu4EfAjY1MweTueeyoytXrvdb2bF9Ptjkg7Bne3fSdoA\n+DwwysyeTjLnS/oE8HXgcOAbwCQz++9FA5MOBF4EtsI/LADMBw4u79qavjVZDrjczKaVdalhjyAI\ngiAIgiFJw466pFWAsfjs7Fq447kSaXY3YWSceTN7RdI8IBvKMSP9rAxvKO+IWa43BZ8FRtKywHfx\nWd618ZniFYCJ1OYLwH1J382B8yTNM7MTUttr4nnIO/FZ8mWBlem58+eFwGHA6WmmfU98R9Sl6rsW\nSbe1gb/2IvIBYHrGSa+sX4/detyzxHQW358t8Q8TD1TMXqyY0WsrYHtJcyraMWADFjvq95Wd9MQk\n4C/AfZJuSL//0cz+U208hUKBUaNGAbDaaqsxevToRbME5fi74VAulaC728vjx/v1qVNLjB4NRx9d\nvX5XV4lJk2DUqE7GjXP5f/8bRo7sZNQoGDeuxNSpft2rlJg0aRJHH31008ebLUMKd8DLY8d2Uiwu\nKV8olBg/HvzPun3ky3WapU+53Cr3O5+/p/LY+19f6kw1y210MnYsdHYuKd/dvfjvdbjLr7Za1xLv\n70baL9P4+8Tfp1On9vx7WG01f5+2wvM5UOVWfJ8PtXL596lTp7JUmFldBz5TvjBT/hkekrI3Hr6w\nAXArcFFG5kng2Ip25gAHZMorAQuB3VK5M5VHVdS7GTgr/f4dfHZ2fzzsZn3g98DEPvQfldrdsuL8\nt/EwjxVS+c+4I7krHpqyAZ6b/MRMnQ58NvijwBHAUzVsV2/fFwHXVMicAkxJv6+Z2tmxl36+DTzT\nhx417YY77edW1OsGrk6/7we8CWyU6mePtZLMtcAVVa6vD6yaaXNCL3p+CDgRuAuYCWxRRcaCJRk7\ndmDqVDs3ceLE/jc+yAz156DZNm9L8y6l0o3avC1t1SIM1HM+kO+DRt6l7USz3y3DkfR81u13l4+G\nZ9RxJ3W8mV0JIGklYEOg6mxuA3wYd5DLs/eb4c4dePz41WZ2Sbou3HF8qYF+DP9mYQXcaf4ocISZ\n/Tm1/U78G4PFFcxeknQF8BVgNB6j3QiVfc/A4/azjE5ymNkMSc/iIS7VZtXvAdaStLGZPVTl+kDY\n7V58Rn0tMyv1InMP8Dlgmpm90Y+2ATCz2/F1DSdJuh//cFA5yx/kTHm2IMiPsHn+hM3zJ2yeP2Hz\n9mFpHPVHgH0kXQ28gYfBrEjtGOt6+b6kF/CwixPxBZGXpmsPA/ulBZkv4rPao6jP4VwjLVpcDg8/\nOQq4yczmpuuPAF+WdCe+APIM3Imu5ELgejw0Zp86x1Sr75uAb6eY/JtTux8Bns60cQrwY0nP4zPX\nbwF2MLOzcef9DuBySccAj+Ifnt5iZlfRu92yy6B6i5MXgJk9IukSoFueB/5e/BuGTuDx9MHtfDyd\n5+8lnQ78B59N/yzwrcx4e3YgbYsvzL0O/9DyATzkKOLU66SRd2+1Ou3yDrfy6sEgCIY9A/k+aJd3\nYDD0Waaf8tm/gmNxZ+pmPPvLben3gfpL+S6+8PFuPPzkU2Y2P107GbgTD1P5Gx5Oc0md7V4HPIeH\n5VwAXEPPjCYH4w763fgHg1+SZvazpNnkp4GSmS1xvZG+zez/2zvvcDuqqg+/P7r0hA4CoUnvRSIY\nb2iCgCCoKAgc+FAUpAUQKZKLCigghC5FDVWFjxJAQpPcj94JoYSekIQWCAmphJL1/bH2SSaTc2vO\nPS3rfZ55cvaeNXvWXjOZu2bP2mvfB5yBO+PPAKsBl+XO+1d8wubP8Vj/waTY/fRpZTc8BOl64BXg\nAjwmHlq3W/aaGXNew3zdIXhmlnOA4cCd+Gj9yKTH+/iXiRmpzy8BlwCfMSsDTanzfIq/mNyFvzCd\ni08qvpGgQ3Sno56NuwsqQy3YvNrpFjudnnGudW7p0nE9elT3OtUztXCf52l0R70WbR6URrU2IiWf\njfMgsKyZdSWUpSKkVJFjgF+b2T+rrc+8hiSrtXu30WlpaYnPpRUmbF55wuaVJ2xeecLmlUcSZtbp\nqJNw1DtJiuteDg9bOQif9PpVdbWa9whHPQiCIAiCeqGrjvrcxKh3J7Xsga2OZ7sZDRwSTnoQBEEQ\nBEHQHXQ2Rr3bMbMWM5u/XKPpkkamSY9lwcxGmtl8Zra6mT3QyjkLJXKIdwuSJqfFhIKgW4mYxsoT\nNq88YfPKEzavPGHz+qHmHPXOIGkFSRdKelPSZ5LGSLpb0m4ZsVKTFhuJNvsnqVnSjMw2XtKDKcNK\nEARBEARBUKPUXIx6R5HUC89u8imevvEF/MVjJ+A3ZrZ6khsBXJzSF1ZKt0I65xIVONck4Egzu7aV\n/c14TvOmVLUscBqwK54LfXorxy1os68aWlNEjHoQBEEQBPVCV2PU63lE/TI8/d9WZva/ZvaGmb1m\nZpfiOcpLImkpSVdK+lDSREktkrZM+5aUNE3SHrljdpH0uaRlU3kVSf+S9Ena7pK0dhvnXEvSIEnv\np1CVZyXtnpMZKelUSVdI+lTSaEkn5GTWTvpOk/RqXs82+MrMxqbtFeAsYGk8h3qx7RmSjpB0q6TJ\neIpIJB2evlhMl/SGpMMyx/xJ0uBM+bDUzn6ZukcknZp+N0t6UdJPJL2V7H+bpGUy8htL+m+ywSRJ\nQzVrXe4gCLqRnj2rn16xSykZpYqer2fPal+pIAjmFerSUZfUE/gucKmZTc3vN7OJrRwnPOf7SsDu\n+KqfDwEPSloxHXcHcEDu0AOA+8zsY0mLAkOAqUAffLn794EHUsrGUiyWzrsTsAlwC3CrpHVzcsfh\nXwY2B/4MnCNp26T7fMBtSW5bPN97cZGpDiNfQfZA4EPmzA/fH89hvhFwmaQfABcD5+Mrw16Y6osv\nCEOA7ZJu4KP2H6d/SbbaKskV6YUvfLQXsEvq65mZ/TcC7wJb46u09sfzrwdVphZjGlVMnN2gVNrm\n48eDWf1tUL62hgxpaVdm/Pi27Rh0jq7e543+/787qcXneVCaWs360h5rA8IX2+kMfXHnbzkzKzp/\np0vaE3dez8UXCvqXpMXNbHJyvvcGDk/yPwEws0OLjUr6Je747gHcnD+pmQ0DhmWqzkrn/CGzO6n3\nmllxgaNLJB0N7Ag8gTv56+PpIMek8x6LLzLVHutnJrcuiq9E+sMSYS//MrO/Z/p1A3BtTqctgZNw\nh/5RYBHcqX4Sf3E5D3+JAF+86Et8kaUiCwAFM5uUznElvoBSkdWAc83s9VR+uwP9C4IgCIIgaDjq\nckQdSi5x3xG2xB3Vj1JYxaTkwG6IL3EPvpLmVOAHqfz9dL7bM22skTt+Ah5KUmxjdmWlxSSdI+nl\nFCozCR9pXjUjZszuzIOvYrpc+r0+8G7RSU88hYf/tMdb+AvKpsAWwFXAIEmb5+SeyZXXw53xLI8y\nayXUyfgKrn1T6M9SwKXAapJWxEfWHzOzLzPHv1N00hPvA8tnyucDV6fwl1NKfHWYSaFQoLm5mebm\nZgYMGDDbCEFLS0uUy1zOUgv6tFUuFFqYfYVJLzc315d8375NFdWnu65Ht5ehbO01NTW1Kw+1eb/U\nq/zAgXSp/dauT5Qb63ler+WWlhaam5spFAoUCgW6Sl1OJk2hLx8Bp5nZ2e3IzpxMKukkfKGi7UuI\nTjKzj9IxlwJrmdmuku4APjGzQtp3Oe5k71eijfFmNj4/mTQd813geOANYBpwLfBacWS+1KRXSUOA\nF83saEnHAP2Kk2TT/gVTW4e2M5l0XzPbOFf/CvCMmR2UyjPwUfZbMzLjgBPM7B+ZusOAP5lZMV7/\nbNz5vwnY28z2THpfCRwBDDazs1rTJW+rVLc2sFuy2c7AL7M6JJmYTBogn5xTbTUaBmlWKEldUWHF\n69ZODUb8/w/qCc1Lk0lTjvV7gV9LWiy/X9LSrRz6HLCCN2Fv57aPMnLXAztKWh93Fq/P7HsWD70Z\nV6KN1iIXtwOuMbPbzOwlPAa71cmnrTAcWEXS1zN129D1a2hAazH12XPmX2q2B17OlFvw/u2cfhfr\n9sBDYlroJGb2ppldbGZ7AH8DDmvvmKD7yY/CBN1P2LzyhM0rT9i88oTN64e6dNQTR+IhKc9I+qGk\ndSWtJ+lX+ITMOTCz+/HQjUGSdpW0hqTeks6QtH1G7nHgHeCf+Mj9fzPN3IDHow+S1Ce10UfSeWo9\n88vrwD6SNpe0Me74L0z7ITzKyNwPvApcK2lTSb2BC/AY8PZYQJ5zfkVJ60g6DQ+lGdTOcecCB8qz\nwawj6Shgf+CcjMwjqS/7MGvSaAueEvILZo9PbxNJX5N0qaTvSOolz/WefzEIgpnEaFoQzLvE//9g\nXqBeJ5NiZiMkbQGcgmdIWQUYB7wIHNvGod8D/ojHaS+PO92PAANzcjfg+cYvyMZYmNk0SX2AP+ET\nR5fCY8kfBLKrqWafIP3wkeGHk8wA3Llt7ykzczEjM7OUheUqfOLmO8AJeJaU9tpYF48FB4+/fxMP\nJ7m+1aP8nIOSc35C0nkk8Csz+09GZoqkZ9I5nk/VT+IvEI/n4tNbW5ypWPclHus/EM/MMw64M50/\nqDJNTU3VVmGeoxo2r8dEGkY59W5qV6JHj3KdK4B4tlSDsHn9UJcx6kEQMepBEARBENQL81SMehAE\nlSdiGitP2LzyhM0rT9i88oTN64dw1IMgCIIgCIKgBonQl3kASQOBZcxszzK3O0dKyUoRoS9BEARB\nENQLEfpSZSQNlDQjbZ9L+lDSgyljSqcm7UpqSu30LJN6RwEHZNpvkXRxB/QYKOnONkS2Ai4vg35B\nEARBEARBjnDUy4fhKRRXBFbH84rfCZwBPCxp0S602eabl6SFOqSY2SQzm9iF87eWpaXY7jgzm9aF\ndoM6JGIaK08t2Lxnz+JqkbW7IZWxvZaytNOzXMMs8wC1cJ/Pa4TN64dw1MuHgM/NbKyZvW9mw8zs\nAjzX1xbAb2YKSgtJ+rOk0ZKmSHpK0i5pXy881SPAR2lk/e9pX4uky1LO9rF4ukdSHvcnJU2T9IGk\n89OqpcXzzRwZT2EwfYAjM18AVmujT62+LEgaKen4THk1SbdJmpi2WyStktnfLOlFST+R9FaSuU3S\nMhmZjSX9V9KnkiZJGiqpqW3TB0Xi2RuUm/HjfRXOWt6gfG0NGVKedsa3tvxd0DB09/O2K+3Xwt+A\nWtChkQhHvZsxs5eBe4B9M9X/AL4N/BTYELgGuFPSJsCojOwG+Aj9MZljf4aPcm8PHJQc4cH4iqmb\nAf+T2j07qwazRsaPBh4H/p7aXhEY09XuFduVNB++gNJy+MtJX2Bl4PbcMb2AHwF7AbsAmwNnZvbf\niK/cujWwKdAf+KyL+s1zdOcDsqt5d1WPiblrhMh1XHnC5pWnFm3ekedWPTvq3WnzcNTLS90ueFRn\nDAd2ApC0FvAToJeZjU77L5W0M3C4mR0pqTgWM9bMPsm19baZnVgsSDoTGGNmR6Sq1yT9FrhC0mlm\n9hmZkXEzmyjpc2CqmY0tYx93BDYG1jSzUUm3/YE3Je1gZsWvBAsABTOblGSuBA7JtLMacK6ZvV7s\nbxl1DIIgCIIgqBvCUa8MAmak31uk8iu5N/aFgf+2047hI+dZ1geeyNU9CiwErA281AV9u8L6wHtF\nJx1mrh77Hv5loOiov1N00hPv4yvEFjkfuFrSwbg9bjGz10qdsFAo0KtXLwCWXnppNttss5mjBMX4\nu3mh3NICAwd6+ZprfP/IkS1sthkce2z5zjd06FCOPfbYLh0veRma6N8fmprmlB84cJb+EPJF/BpX\nT5/i/rx8TZW9skz/n4p9n3v9ZkXtFdus7futevID8A/CtaJPUZ6Z+4vy3f287Ur7Awa0MHQo9OrV\nxBlnuDxAodBEU1P5n+el24MJE7x8xhktjBzp+rjI3Ldfj+Xi75EjRzJXmFlsZdjwZe/vbGXfncAL\n6fd+wFfAusCauW2lJNOEO/Y9c+0MAS7K1d0CXJurWzsdv2Ep3Uq109k+pf0jgH7p99HAqBIyo4Ej\n0+9m4MXc/gIwqYT+RwF3AdOBQ0q0a8Gc9O/ffW0PGTKkS8fFteo6XbV5OamLy1dGJctl87qwW41Q\nC/d5no48t7rzedvV9jt6THfavLvtUq+ke6rT/mXEqJcXy1dI2gj4LvC/qep5fER9JTN7O7e9n2Q+\nT//O34FzDge21ezD89unNt5q5ZjP6fjXlDn61IYeK0tavVghaU08Tv2VDrbhJzR708wuNrM9gL8B\nh3Xm+KB7KI4WBJUjbF55wuaVJ2xeecLm9UOEvpSXRSStgDvYy+Fx2ycDzwDnAZjZ65JuAAamjCnP\nAz3xUfS3zOw24B3cQd5D0l14PPkUSmdhuQw4FrhM0kX4yPzZ+EJErU3CHAlsk5zqKcC49LZXiqUk\nbZo773gzeydbZ2b3SxoG3CDpmLTvYuBZMxvSqsUySPoabqebkg1WwF868qE9QSvU4rO39VsrqBdq\nfT6wUXs69uhRbQ2CuaEjz63uft52pf1a+BtQCzo0EjGiXj4MnzD6Pu5kPgDsgWct6WOz5xs/BM/8\ncg4+En0n7pCOBDCzd9NxZwIf4A5v8RyzPT3M7D1gNzx7yvP4CPSNwCk53bLHnYePqr8CfAis2kaf\nvp3afS6znZvZn2Uv4CM8tOZB4D1g7zb0yNYDfAksjYfcvArcCjwG9GtFvyBHdz4gs3F3QWWoBZtb\nmdIedueGWdnaGjKkpSztfJJPAxC0Si3c512hnh317rR5OOrlRTHaFdQjktr4CBB0By2ZyXpBZQib\nV56weeUJm1eesHnlkYSZdfrbXzjqQV0SjnoQBEEQBPVCVx31CH0JgiAIgiAIghqk4Rx1SQVJk9qX\nrB6SekmaIWmLjpSDoBao1zjSeiZsXnnC5pUnbF55wub1Q0046pIGSrqz2npUkFHAisAL3XmS5Ozv\n053nCIIgCIIgCLqHWknP2Fo2kIbEzGYAY6utRy0haSEz+7x9yaBaxMSjytNVm/fsCePHl1eXSmAI\nVf1PQVOXjurRIzK9dJV4tlSesHn9UBMj6mTycUvaWtJ9kj6S9KmkhyVtO5uwtJSkyyW9J2mapFck\n/bhkw1IPSY9KGizpa5IWlHSRpHclfSZplKSzc/LXSPpE0lRJ90vaILO/IGmSpB0kvSRpsqQHJfVK\n+7+RRrI3yunxi9Sn+bsS2iJpA0n/kTRR0oeSbkw52zuMpH6SXkg6j5F0laSlcjKHJptMkXSbpF9J\nmpHZ3yzpxdwxs4UbSVpL0iBJ76dzPStp99wxIyX1l/R3SeOB61L96WnfZ+n4azrTxyAI3EmvdsrE\nLqVZpPo6dHWrxxejIAhqn1px1LMsDlyD5xXfGhgK3C2pJ0BagfNuPL93AVgPOAaYY3EfSSsDD+Gh\nJnumXOZH47m998OXqt8Pz9ldZGA67/eBbYCpwD2SFsnILAz8Np2/N577+68AZvY68DRwQE6dA4B/\nm9lXnbKG92Ol1I9hSbcdcTsNyq1I2h5f4bbaANgf718xRzuSegNXpbpNgf8AZ9D5rx2LpWN3AjYB\nbgFulbRuTq4fnst9S+BUSfsCxwO/wq/NHsCTnTx3UAZK3VYR01h5wuaVJ2xeeapt8879GW0Mqm3z\noOPUSugLpFH1/CqWko4G9sUX9bkBd/62BTYws9eS2DtzNCatDdwPDDazIzK7VgNeN7NHUnkM8Hg6\nZh1gT3yBokdS3YG4o38AvpgQuN2ONLM3ksx5wN8z57gedzhPTvtXw188Tuq4OWbjV8BQMzs507+D\ngXHAVviLQbuY2YWZ4ihJJwG3AweluqOBe82suKDRm5K2Bn7eGWXNbBj+UlHkLEl7Aj/EF3Eq0mJm\n5xULkr6PLxh1v5l9iV+bZztz7iAIgiAIgkah5kbUJS0v6QpJr0maAEwElmfW6pmbA+9nnPRSLAQ8\nDNyVc9LBR8w3k/S6pEskfS8zKr0+MIPkuAOY2UTgxbSvyPSik554H1hI0tKp/G9gZUnfTuWfAm+b\n2RPtGqA0WwJ9UsjNpBRmMgof6V6zo42kcJ37JY2WNBEf6V5Q0opJZF3gqdxh+XJHzrOYpHMkvZxC\niCbhLxTZFVANeCZ36E3AIsAISVdL+qGkhVo7T6FQoLm5mebmZgYMGDDbCEFLS0uU56IMILUg+dLs\nhcLs+4ryzc0kmZY55Eu1H/Kdk+/bt6lL7UNt3U/1VG5qaurS8TDL/tnr0dxcWr5QCPmi/CwbVkef\nUudv9HKWWtCnEcstLS00NzdTKBQoFAp0lZpY8EjSQKCnmX1f0mBgOeB3wEh8qfv/An83s99L+g1w\ntJl9vZW2CsAlwP8CfYAmMxuVk1kc+C4eQvIjPPvKzvho+q3AwtkQFUmPAI+b2Ymp/YvNbInM/ibg\nQWBZM/sk1f0HGG1mv5Q0DLjVzJrTvl7A28BWZvZcB8p346E9J5To8lgzm9yKLWYAPzSzWyWtjof4\nXAH8Ex+N3zL97mVmoyQ9B9xR1DO18T/AVWY2XyqfDvzYzDbKyPwcOL9oE0mXJ/seD7wBTAOuBV4z\ns0OTzIhkx/NzOi+MX5ed8C8pE4FvmtnUnFwseNSNyBdmqLYaQReRZsV81xV1q3hdqz7PE8+7oBKo\ngRY82g534Aab2XBgMrBSZv/zwEqS1mujDTOzAvAIMETSqrmdk83sljTavjuwA7AWMBy3ybeKspKW\nBDbCY6k7w/XAjyRtmY6/vpPHZ3kutTHKzN7ObSWd9BJsBSwIHGdmT5rZm8AqOZlX8bj1LPnyR0B+\nEutmufJ2wDVmdpuZvQS8i8ect4uZTTezu82sHx6PvyGZ6xFUj/woTND9hM0rT9i88oTNK0/YvH6o\npRj1Iq8DB0p6Cp8weQ4+ql7kAXyC4S2SjsNHbNcGFjWzQbm2DsZHclskNZnZaEn9gPfwUfQv8Njz\nT4ExZvaZpEHAFZJ+kerPTP/e2Ml+3I6PXv8NeCo5xl3lUjxO/N+S/gx8jIe8/Ag4voPO+hv4S8hx\nkm7D4/yPyclcBDwi6QRgEP5FYm9mn0w6BOgp6RQ8xKcJH/nO8jqwj6Q7gC+B/vgE3DbfJNPXivnx\ncJvJ+ETfz5PuQQWJ0aX6px7nxxn1qTd4esagPonnXVDL1MqI+ny4QwdwKO6gP4s7x1fjITCAD5Xj\nE0sfxUepXwEuwEeLZ4plZA8GHgMeTCPrE4ETcWf/WTwryW5mVswacwjuKN6RZBYBdjWz6fn2c8xW\nlzLM3AZsTOnR9HwbrZbN7H18lHoGcA/wEh7e8xkwnRJIKl7bL1Mbw3DHvB/wMm7nE3LneQJ/ITga\nf5HZC39Rmp6ReRWf3PqLJLMjcFZO/354nviH8ewvj6Xf7T0NxwP/g2e4eRH4AbCPmc0xWTioPJF3\nt/J01ebVTlXY5fSMZlXXwaypS8dFDvWuE8+WyhM2rx9qJUb9PuANMzuy2ro0Cik15Rg8vrtDWWFa\naecCYAcz27RsypWBiFEPgiAIgqBeqMsYdUnLStoLD7G4v5q6NAqS5pO0BnA68CGzp0nsyPEnStpM\n0tqSfgkczuypJ4N5lIhprDxh88oTNq88YfPKEzavH6odo34THl/+ZzO7vcq6NAqr4eFAL+PZWUqG\nxrTBlni2lqXwzDO/NbOLyqtiEARBEARB0B41EfpSL+TTJrYiMxLPWvOXbtblBHzRpTW68zzpXCVT\nKeZkJid9rulufdL5IvQlCIIgCIK6oC5DXyqFpFUkXZkW+pkuaUwq59MTlgOj/UmTFUHSjMw2OS1A\ndFwXmtoKuLwdmZrpdxAEQRAEQSPQ8I56itd+BtgAOAjPl/4zPD/302khoEbmMGBFZmWf+YukAzrT\ngJmNS1lsug1J1Q7DCtohYhorT3s279mzuBJjY2xIVdchu8JrZ7aePStySzQk8WypPGHz+qHhHXU8\nB/mXwE5mNsTMxphZC77y5Yy0HwBJu0p6OC17P07SPW0trJQmbl4q6W1Ja7Ui00/SC2lEe4ykqyQt\nldlfkDRJ0g6SXkpyD6Ywm2w7v5H0QZK9Bk9h2REmmNlYMxthZmcDnwDfzLS7taT7JH0k6dPU/21z\n5x4p6fhMeW1JLZKmSXpV0h4l+r2KpH8lW34i6S5Ja2f2N0t6MfX/LWCapEUl9ZH0ROrnBElPStqw\ng32tKvHcCyrN+PHVTmVY5vSMVF+HIUO6dtz48dW9F4KgVoi/heWloR11ST3xpewvzeRJByCNEF8G\n7JZxnBcFzsdXxPwOvtDRnZKyOdqLbS8I3AB8G/iWmb3Vihpf4fnLNwD2x1f6vDgnszDwW6AA9AaW\nBv6aOdePgT8AvwM2B17Dc5V3JNREqY35Uzs98S8MRRYHrgG2T/0hV0CBAAAcIklEQVQeCtydbFdk\nZlhLys9+W6rfFs/H3j/1oajvovjCSFPxjD7bAu8DD0j6WqbdNYCf4AsmbYovbjQIz6O+CW6rC3Ab\n1jyN/nDqSN5d1etqNTVK5DquPGHzylOvNq/n51132rzR/xZWmkYPN1gHd1SHt7J/eNq/DvCMmd2a\n3SnpUNxZ3xpftKfI4sCdwJJAHzOb0JoCZnZhpjhK0kn4qqUHZeoXwCdivpHOex6zp0Q8FhhoZlel\n8lmS+uJhPO1xnaSB+MJNAEeZ2bUZ/YZkhSUdjTvOu+EvInl2AtYHepnZmHTMsfiCRkV+kto+NNPu\nL/F0kXsAN6fqhYADzeyjJNMTzzZzl5mNSDKvd6CPQRAEQRAEDUdDj6h3FklrSbpR0puSPgU+wG20\nWk70eqAHsGNbTnpqcwdJ96eJrBOBW4AFJa2YEZtedNIT7wMLSVo6ldcDHs81/QRptLwdTsBHq3fG\nUzbundNveUlXSHpN0gR85dblgVVbaW994N2ik554Cg8jKrIlsEYKX5kkaRIwAf9SsGZGbkzRSQcw\ns0+AgcC9KVTmOPlqsiUpFAo0NzfT3NzMgAEDZou5a2lpqUi5pQWam6FQaOGMM1pobvbygAGVOX8l\nywMGDOiwfKHQkov19XJzc8h3Rr54TGvyHb0eUe54OW/7jh4Pc14fyZ8HpeT9moa8Py/nfH7Xg/6d\nuT9qrdyZ53nH2pv19++MM9xebsva6G81yi0tLTQ3N1MoFCgUCnQZM2vYDVgGD5s4pZX9p6b9S6fy\ncOBeYAdgXTzH++fAQWl/L9whvQyYAuxcos0RQL/0e3VgGjAAjwtfG9gvtbFakikAk3JtNCWZnqn8\nCVDIyfwBGNFO/2cA+2TKa6X+7J+pG4yHwuyGO+FrASOB01vp0zHAO7nzLIjPAyja6XLgadwpz289\nkkwz8GIrem8C/IZZ4TO7lJCxWqN//2pr0L0MGTKkXZlavC71THs2bzhz10CHOnKfl6IGVK9bumrz\nalPPz7vutHmj/y3sKul+6bQv29Aj6mY2Dne8j8jFRhfjqI8E7jazCZKWwZ3zs8zsQTN7DQ9tKRUe\ndDUejnK7pJ3aUGEr3Ik9zsyeNLM3ga6khByOx65n2ZZOpkM0j6O/ATg5U70dniN9sJkNByYDK7Wj\nyyqSvp6p24bZv848i7+UjDOzt3Nbu1OuzGyYmZ1jZn2BFuDgjvQv6F7qNY60ngmbV56weeUJm1ee\nsHn90NCOeuLXuLP9gKS+klaV1ATcjzu6v05y44GPgV+krCbfwSd0flmqUfN48eNo21l/A7fxcZLW\nkPRTfES6s1wIHCzpMEnrSDoZd467wvnAhpK+l8qvAwdKWl/S1sC/8FH31rgfeBW4VtKmknrjEz6z\ndroBj0cflLK4rJH+PS+b+SWPpF6S/iSpt6TVUxz+JnjITs0Tzz2KXzuCClL9dIbl2+q5Pz16VPc+\nCCpPPO9KE38Ly0vDO+pm9jY+sv0ycB1QHFV+GdjazN5JcjPwsJRNgBfxzCynAdPzTWbavhI4HnfW\ndyxx7mG4Y94vne9QPGY8/7+71P/27HluwkNFzgSew3PAt7pKaFuY2Yu4s31iqjoUnxz7LHAj/rVg\nZBvHG/AD/N55Eo8p/wMZO5ln1OmDr+J6Mz4KPxCPUf8k0798v6fiE3tvxjPbDMTnA/y5s/2sBo3+\ncMrG4AWVoT2bZ9MDNsKGWdV1GDKkpUvHffJJm5cqaIN4tlSe7rR5o/8trDSKN8KgHpFkce9WlpaW\nlvhcWmHC5pUnbF55wuaVJ2xeeSRhZur0ceHsBPVIOOpBEARBENQLXXXUGz70JQiCIAiCIAjqkXDU\nGwxJTZJm5FYWDYK5JuJIK0/YvPKEzStP2LzyhM3rh3DUc0haTtJlkkZI+kzSB5IeyGZ2kTRS0vFd\naLsSTvSjwIrmiwd1GkmFpGNxGyvpPknfLLOeQRAEQRAEQRtEjHoOSQ8BiwAnAW8CKwDfwVfR/HeS\nGQFcYmZ/6WTbTcCDwLJddaS7G0kF4BJ8cSIBXwfOATYHVjWzKdXTbhYRox4E0LMnjG93ZYL6wRDq\n3PIQVaNHj8j0EgRBx4kY9TIgaWlge+C3ZjbEzEab2TNm9peMk96Crzh6bhpx/qqM5+8h6RpJn0ia\nKul+SRtk9hckTcodM9sofYnyUpKuk/ShpGmS3pLUXi53M7OxZvahmT2Lr6y6NL4gVPG8/SS9IGmy\npDGSrpK0VF5XSbtKelXSFEmDJC0paT9Jr0uaIGmgpIUzx/WR9EQ6doKkJyVtODd2DYJGZfz46qdU\nLGt6RqqvQ0e3RnpBCoJGo5Eie8JRn53Jadsr6zzm+AEwBjgDWJG2V/HsLAOBrYHv4wsaTQXukbTI\nXLT5R2AjYHfgG3je9Hc7enB6edkfXxDqzcyur/Ac8Ruk/dvgueezLIznkP8psCOez/5W4ABgH2Bv\nvK+/SudaABgEPITns98GX0ypbC9D8xpSp1/eWyViGitP2LzyhM0rT73avJzP10pTrzbvKI3UvQWq\nrUAtYWZfptCPq/AVSp/HY75vNrOnksz4NIo+yczGluvcktYB9gT6mNkjqe5AYBTu2P6ti02vBjxn\nZs+k8ugOHLNYGrkXsCi+wmqTmU0sCpjZhRn5UZJOAm4HDsrULwAcaWZvpP7ciK/munwx9EfSINyJ\nHwAsCSwF3GVmI1Ibr3ems0EQBEEQBI1CjKjnMLNbgZVxp3kw8C3gCUknd/Op1wdmAI9ndJmIr5K6\n/ly0ezmwn6Shks6V1KcDx0wFNgW2AA7HQ302ywpI2iGF5oyWNBG4BVhQ0ooZselFJz0xFvggF58/\nFlgeINUPBO6VdJek4ySt2pqShUKB5uZmmpubGTBgwGwjBC0tLVFuo1wotCC1ZJZA93Jzc+vyffvS\nKfnOth/yc8oXFyRpTb5Ite+nRio3NTV1SB7mvB4SNDeXlvdrGPKl5IGa0qcr8vVWzlIL+pSj3NLi\n16dQaOGMM/x52twMAwZUS58WmpubKRQKFAoFukpMJu0Akq7CR4oXS6PuI4CLzez8TrbTRCuTSSV9\nHw8LWdjMvsrUPwI8bmYnSjoIuMzMFs/s3xm4t9hmqXNIWgbYDR+5/iH+heDQVnQspL4tkak7HTga\nWMPMJklaHXgVuAL4JzAO2DL97mVmo1pp5wR8hH2NTN2fgB3NbOtM3SbArknnbwJ7m9l9OT1jMmkH\nSJNXqq1G0E1Is2K7G4I66lAdqRp0E/F8rV2KTnotEZNJu5fheBhHMVb8c2D+bjjHfPgIPgCSlsTj\ny19JVR8Bi0paInPcbCPdpTCzcWZ2vZkdAhwGHCxpwU7odgHe/8NTeStgQeA4M3vSzN4EVulEe+3p\nO8zMzjGzvkALcHC52g66Tn4UJuh+wuaVJ2xeecLmlSdsXj+Eo55B0jKSHpR0gKRNJK0h6UfAb4AH\nzGxyEh0J9JG0sqRl07GrpOwme3fgVBtL2iy74RM1BwFXSNpe0sbA9cCnwI3puCeAKcDZktaWtC9w\nRDt9+r2kvSStI2l9fBLnW2b2RUftYmaTgKuBY5KD/wZ+7xyXbPRTfGLpXJHa+pOk3pJWl9QXn1T6\n8ty2Pa9SztGeoUOHlq2toGN0xOazPs/X/1YL/enbd2iH5Hr06OaLPw9Rr8+Weh5Nr1ebd5QUNdgQ\nhKM+O5PwGPFj8JHcl4AzcYd5v4zc6cCqwFvAh6luQTyrypJttF/8Xz0EeC6zPQt8DTgEeAq4A3gS\nH8Hf1cymg09kxSeW7gwMw0fHT8u0mz8PwGepD0OBR4DF8Pj7tij19LkQzym/v5kNw23UD3eiDwVO\naEePYrmtuinAOsDNwGt4vPr1wJ/b0TeoABMmTKi2CvMc7dm82ikKy56e0azqOvTvP6FDcpFDvXzE\ns6XyNLrNG8lRj6wvGczsc+DUtLUl9yS5kBMzG0k7Lz5m9n/tyEwFCu20cQfuyGe5IbO/hUxYjpmd\nBZzVVpu59gfiDnK+fjSwUKZ8MXOmY7y5rXbSAlF/ydWdnPk9Fti3o7oGQRAEQRA0MjGiHgRBhxg5\ncmS1VZjnCJtXnrB55QmbV56wef0QWV+CukRS3LhBEARBENQNXcn6Eo56EARBEARBENQgEfoSBEEQ\nBEEQBDVIOOpBEARBEARBUIOEox4EQRAEQRAENUg46kEQBEEQBEFQg4SjHtQVkraRdL+kSZImSnpU\n0jKZ/T0kXSdpQtqulbRUNXVuBOQMljQjrYib3Rc2LxPJlhdLGi5pqqRRki6T1LOEXNi8jEg6QtII\nSdMkPSNp+2rr1ChIOlnS05I+lTRW0h2SNiwh1yzp3XTvD5G0QTX0bUTSNZgh6eJcfdi8jEhaSdI1\n6T6fJullSX1yMp2yeTjqQd0g6ZvAvcCDwDeBLYBzgS8yYjfii1F9F9g1yVxXWU0bkuOBr9LvfKqo\nsHn5WDltJwIbAT8D+gD/zMmFzcuIpP2AAcAfcbs+BgyWtGpVFWscvgNcAvQGdgC+BB6Q1KMoIOkk\nfLXrXwNbA2OB+yUtXnl1GwtJ2wI/x1c0t0x92LyMSFoaeBS38feA9XDbjs3IdN7mZhZbbHWx4X88\n/9DG/vWBGUDvTN12qe4b1da/Xrf0MBkFLJdsuU/YvKL23w1/SVo8bN5tNn4SuCJX9zpwVrV1a8QN\nWAx31ndPZQHvAydnZBYBJgK/qLa+9bwBSwFv4i9LQ4CLwubdZuuzgIfb2N8lm8eIelAXSFoe2Bb4\nQNIjkj6U9JCkHTJivYHJZvZ4pu4xYEraF3QSSUvgo7c/N7OPSoiEzbufpYDpwNRUDpuXEUkL4V8k\n7svtug/4VuU1midYEv+iPz6V1wBWIHMNzOwz4CHiGswtVwI3m9n/4Y5ikbB5+dkbeErSv5OP8ryk\nIzP7u2TzcNSDemHN9O8ZwNXALsDDwL2SNkn7VgRmcybNX1nHpn1B5/krcLeZ3dvK/rB5N5I+pf4B\nuNLMZqTqsHl5WRaYH/gwVx/27D4uBJ4Hii+bRTvHNSgjkn6O/+08LVVlwxbD5uVnTeAI/AvGLvh9\n/qeMs94lm4ejHlQVSX9ME1za2vow6179q5kNNLMXzOxU4Gngl9XrQf3RQZt/R9KBwCbAb9JxxdGY\nTi+BPK/Tifs8e8ziwJ3AaNI1CIJ6R9L5+OjhvukFsz1i+fQuIGld4EzgADMrzi8SHXt+h827xnzA\ns2Z2avJRBgIXAUe2fRjQhs0XKJNyQdBVLgCubUdmNLPeNl/J7RsOFCd8fYDHUc8kOZfLp32B01Gb\nF4ANgMmzfHQA/i3pMTPrQ9i8o3TU5sBMJ/1uPO58DzP7PCMXNi8vH+NzAFbI1a+Ax5MGZULSBcCP\ngb5mNjKzq3jfrgCMydSvQNzTXaU3/rXo5czze37g25IOxyerQ9i8nLzHnD7Kq8Bq6XeX7vNw1IOq\nYmbjgHHtyUkaif8nWC+36xvAC+n348Diknpn4nd74xOXHiuLwg1AJ2x+Kp5VZ2YV8CKeAWZQqgub\nd4CO2hxmzgsYjI+w7GZmU3MiYfMyYmafS3oW/1R9S2bXzsDN1dGq8ZB0IfAj3El/Pbd7BO6o7AI8\nm+QXAbYHTqikng3EbcBTmbKAf5AmSQNvEDYvN49S2kcZmX536T4PRz2oC8zMJJ0LnCFpGDAUH5nZ\nBo8Jw8yGS7oHuELSL/AH0xXAnWb2RpVUr1vM7D385WgmaWRmdHE0LGxeXpKTfh+wBD4xaYlUBzDO\nzL4Im3cL5wPXSXoKf9n5Jf4V769V1apBkHQpnmp0b+BTScUvpJPMbEp6vg8ATpH0Ku5EngZMwiez\nB53EzD4FPs3WSZoKjDezV1I5bF5eLgAek3QKcBOwOXAUcDLM9GM6bfNw1IO6wcwulLQw8BdgGeAl\nfMTxxYzY/sDFeL518JHfX1dU0XmPsHn52BJfI8Dwka8iBvTFswNA2LysmNlN8oXTTgNWwr8cfc/M\nRrd9ZNBBfoXfw//N1TcDvwcws3MkfQ24FOgBPAHsYmZTKqhno2NkYqHD5uXFzJ6RtDf+xeJ3wDvA\naWZ2eUam0zZXx+ZyBEEQBEEQBEFQSSLrSxAEQRAEQRDUIOGoB0EQBEEQBEENEo56EARBEARBENQg\n4agHQRAEQRAEQQ0SjnoQBEEQBEEQ1CDhqAdBEARBEARBDRKOehAEQRAEQ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      "text/plain": [
       "<matplotlib.figure.Figure at 0x10a9a97d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "##\n",
    "# ... or see which teams are consistently great or not\n",
    "#\n",
    "df2 = pd.DataFrame({col:vals.Spread for col,vals in df.groupby('Team')})\n",
    "meds = df2.median().order(ascending=True)\n",
    "df2[meds.index].boxplot(vert=False, figsize=(5,35), return_type='axes',fontsize=14)\n",
    "plt.xlabel('Spreads in Seasons 2008-2014')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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1tdX332MQ1ILejqhbWoL+P7R3PLP8BC/p9ysze97MngL2AzaWVHLm7maWo94C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\nPLR01JegdZEUP9wgCIIgCJqGnkR9CUM9CIIgCIIgCBqQcH0JgiAIgiAIg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      "text/plain": [
       "<matplotlib.figure.Figure at 0x10a04dbd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "##\n",
    "# ... Some teams make points but not wins\n",
    "#\n",
    "df2 = pd.DataFrame({col:vals.Points for col,vals in df[df.Season==2014].groupby('Team')})\n",
    "meds = df2.median().order(ascending=True)\n",
    "df2[meds.index].boxplot(vert=False, figsize=(5,35), return_type='axes',fontsize=14)\n",
    "plt.xlabel('Distribution of points')\n",
    "plt.title(\"Points in the 2014 Season\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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FxVTm9KsrfmjMP9PBKgCY2RdmNqVC+SAIgiAIgqASrf2KIqSm1zl9gQdyafvhh40ske47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4qcrfd7qUyn9NwLPwFonSnTIZVpW6l/mbIGFhISEhJSL8GCIFjypL896ivL1rImaDKY2UOSHgN+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\nNzMzMzNrc/8PFact3H+gsLIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10a04dc10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "##\n",
    "# ... How about Sacks?\n",
    "#\n",
    "df[(df.Season==2014) & (df.Category == 'regular')\n",
    "  ].groupby('Team').Sacks.sum().order().plot(kind='barh')\n",
    "plt.title(\"Sacks made in the 2014 season\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Or we can look at a particular team / teams\n",
    "\n",
    "The year-over-year median scores can be read as \"half of the games had at least that spread\"...because the median is the value of the middle item if they were sorted."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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npe1J7HSTodjn7AAwxc/HSAJKA5OBSsBhYB72zYVXWm1DKaWiwIxNM+gxpwfJ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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10a0cff90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "ax = plt.subplot(111)\n",
    "\n",
    "tmp = df[df.Team.isin(['Chicago Bears','Detroit Lions','Denver Broncos'])\n",
    "        ].groupby(['Team', 'Season']\n",
    "           ).Spread.median().unstack().transpose()\n",
    "tmp.plot(ax=ax, lw=3, figsize=(12,4), legend=False)\n",
    "\n",
    "plt.xlabel('Season')\n",
    "plt.ylabel('Median Spread')\n",
    "\n",
    "# Shrink current axis by 20% to make room for the annotation\n",
    "box = ax.get_position()\n",
    "ax.set_position([box.x0, box.y0, box.width * 0.8, box.height])\n",
    "\n",
    "# Legend to the right of the current axis\n",
    "ax.annotate('... Manning?',(2012, tmp.ix[2012,'Denver Broncos']), xytext=(2010.2, 10.5), \n",
    "             arrowprops=dict(arrowstyle='->'))\n",
    "ax.annotate('... Suh?',(2010, tmp.ix[2012,'Detroit Lions']), xytext=(2010, -11), \n",
    "             arrowprops=dict(arrowstyle='->'))\n",
    "\n",
    "for y, txt in zip([-7,7,2],\n",
    "                  ['Chicago Bears', 'Denver Broncos', 'Detroit Lions']):\n",
    "    ax.annotate(txt, (2014, y), xytext=(2014.1, y))\n",
    "\n",
    "plt.title(\"It's a team sport, but...\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Interpretation: last year,\n",
    "\n",
    "- Half of the Broncos' games were won by at least a touchdown\n",
    "- Half of the Lions' games were won by at least a field goal\n",
    "- Half of the Bears' games were lost by at least a touchdown"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## OK that was fun. Let's make a model.\n",
    "\n",
    "Given details about an upcoming game, predict the point spread. <br/>\n",
    "[Scikit-learn][scikitlearn] provides machine learning algorithms in Python. Basically:\n",
    "\n",
    "1. Prepare the data (just spent the last 10 minutes doing this)\n",
    "2. **Choose a model**  ⇠ (we're here)\n",
    "3. Use the model to score new data\n",
    "\n",
    "We will use a Linear Regression because the output we want is numerical (we'd want a Regression of some sort) and it's the model everyone starts with.\n",
    "\n",
    "\n",
    "[scikitlearn]: http://scikit-learn.org/stable/"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Reminder - available columns\n",
    "\n",
    "- **Dependent variable**\n",
    "    + `Spread`\n",
    "- **Unknown at game start** (can't use)\n",
    "    + `Outcome`, `Overtime`, `Points`, `PointsAllowed`, `PointsPercent`, `WinPct`, `WLT`,\n",
    "      `Sacks`, `Fumbles`, `Inteceptions`, `PenaltyYards`\n",
    "- **Knowns**\n",
    "    + (useful) `Category`, `AtHome`, `LastWkBye`\n",
    "    + (cool but if you use them you have to look them up every week)<br>\n",
    "      `VegasSpread`, \n",
    "    + (derived)  `Past5WkAvgFumbles`, `Past5WkInterceptions`, `Past5WkSacks`,\n",
    "       `EwmaPenaltyYards`, `Past5WkAvgPts`,\n",
    "    + (too specific? / extraneous) `Season`, `Week`, `Team`, `Opponent`, `Date`, `Stadium`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index([u'Season', u'Category', u'Week', u'Team', u'Opponent', u'AtHome',\n",
       "       u'Points', u'PointsAllowed', u'Date', u'Stadium', u'Overtime',\n",
       "       u'VegasSpread', u'VegasTotal', u'VegasWin', u'Interceptions', u'Sacks',\n",
       "       u'Fumbles', u'PenaltyYards', u'Spread', u'PointsPercent', u'Outcome',\n",
       "       u'WLT', u'WinPct', u'LastWeekBye', u'Past5WkAvgPts',\n",
       "       u'Past5WkAvgFumbles', u'Past5WkInterceptions', u'EwmaPenaltyYards'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('games shape:', (3732, 17))\n",
      "('df shape:', (3981, 28), 'df no bye', (3732, 28))\n"
     ]
    }
   ],
   "source": [
    "##\n",
    "# Combine the data by game, so that the opponent aggregations are available too\n",
    "tm = df[[\n",
    "        'Season', 'Category', 'Week', 'Team', 'Opponent', 'Spread', 'AtHome',\n",
    "        'LastWeekBye',\n",
    "        'Past5WkAvgPts',\n",
    "        'Past5WkAvgFumbles', 'Past5WkInterceptions',\n",
    "        'EwmaPenaltyYards']]\n",
    "tm.columns = [\n",
    "        'Season', 'Category', 'Week', 'Team', 'Opponent', 'Spread', 'AtHome',\n",
    "        'T_LastWkBye',\n",
    "        'T_5WkAvgPts',\n",
    "        'T_5WkAvgFumbles', 'T_5WkAvgInterceptions',\n",
    "        'T_EwmaPenaltyYards']\n",
    "\n",
    "opp = df[[\n",
    "        'Season', 'Category', 'Week', 'Team', 'Opponent',\n",
    "        'LastWeekBye',\n",
    "        'Past5WkAvgPts',\n",
    "        'Past5WkAvgFumbles', 'Past5WkInterceptions',\n",
    "        'EwmaPenaltyYards']]\n",
    "\n",
    "opp.columns = [\n",
    "        'Season', 'Category', 'Week', 'Opponent', 'Team',\n",
    "        'O_LastWkBye',\n",
    "        'O_5WkAvgPts',\n",
    "        'O_5WkAvgFumbles', 'O_5WkAvgInterceptions',\n",
    "        'O_EwmaPenaltyYards']\n",
    "\n",
    "games = tm.merge(opp, how='inner', on=['Season', 'Category', 'Week', 'Team', 'Opponent'])\n",
    "\n",
    "games = games[games.Spread.notnull()]\n",
    "print('games shape:', games.shape)\n",
    "print('df shape:', df.shape, 'df no bye', df[df.Points.notnull()].shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('Size of the input set:', (3696, 45))\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AtHome</th>\n",
       "      <th>T_LastWkBye</th>\n",
       "      <th>T_5WkAvgPts</th>\n",
       "      <th>T_5WkAvgFumbles</th>\n",
       "      <th>T_5WkAvgInterceptions</th>\n",
       "      <th>T_EwmaPenaltyYards</th>\n",
       "      <th>O_LastWkBye</th>\n",
       "      <th>O_5WkAvgPts</th>\n",
       "      <th>O_5WkAvgFumbles</th>\n",
       "      <th>O_5WkAvgInterceptions</th>\n",
       "      <th>...</th>\n",
       "      <th>Team_Pittsburgh Steelers</th>\n",
       "      <th>Team_San Diego Chargers</th>\n",
       "      <th>Team_San Francisco 49ers</th>\n",
       "      <th>Team_Seattle Seahawks</th>\n",
       "      <th>Team_St. Louis Rams</th>\n",
       "      <th>Team_Tampa Bay Buccaneers</th>\n",
       "      <th>Team_Tennessee Titans</th>\n",
       "      <th>Team_Washington Redskins</th>\n",
       "      <th>Category_postseason</th>\n",
       "      <th>Category_regular</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>27.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>False</td>\n",
       "      <td>18.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>23.7</td>\n",
       "      <td>0.7</td>\n",
       "      <td>1</td>\n",
       "      <td>42.5</td>\n",
       "      <td>False</td>\n",
       "      <td>19.7</td>\n",
       "      <td>1.7</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>26.5</td>\n",
       "      <td>1.8</td>\n",
       "      <td>4</td>\n",
       "      <td>54.4</td>\n",
       "      <td>False</td>\n",
       "      <td>27.2</td>\n",
       "      <td>1.2</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 45 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  AtHome T_LastWkBye  T_5WkAvgPts  T_5WkAvgFumbles  T_5WkAvgInterceptions  \\\n",
       "2  False       False         27.0            0.5                0           \n",
       "3  False       False         23.7            0.7                1           \n",
       "4   True       False         26.5            1.8                4           \n",
       "\n",
       "   T_EwmaPenaltyYards O_LastWkBye  O_5WkAvgPts  O_5WkAvgFumbles  \\\n",
       "2           43.0            False         18.0            0.5     \n",
       "3           42.5            False         19.7            1.7     \n",
       "4           54.4            False         27.2            1.2     \n",
       "\n",
       "   O_5WkAvgInterceptions        ...         Team_Pittsburgh Steelers  \\\n",
       "2              0                ...                     0              \n",
       "3              4                ...                     0              \n",
       "4              2                ...                     0              \n",
       "\n",
       "   Team_San Diego Chargers  Team_San Francisco 49ers  Team_Seattle Seahawks  \\\n",
       "2              0                        0                         0           \n",
       "3              0                        0                         0           \n",
       "4              0                        0                         0           \n",
       "\n",
       "   Team_St. Louis Rams  Team_Tampa Bay Buccaneers  Team_Tennessee Titans  \\\n",
       "2              0                    0                          0           \n",
       "3              0                    0                          0           \n",
       "4              0                    0                          0           \n",
       "\n",
       "   Team_Washington Redskins  Category_postseason  Category_regular  \n",
       "2              0                         0                    1     \n",
       "3              0                         0                    1     \n",
       "4              0                         0                    1     \n",
       "\n",
       "[3 rows x 45 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "##\n",
    "# All of the Scikit-learn models are trained with\n",
    "#   (1) an output column  and\n",
    "#   (2) an input dataset\n",
    "#\n",
    "# Want to predict 'Spread' given known values:\n",
    "#   ==> Ignore 'Bye' weeks (they have no 'Spread')\n",
    "#   - Category (regular|postseason)\n",
    "#   - AtHome (True|False)\n",
    "#   - LastWeekBye (True|False)\n",
    "#   - Past5WeekAveragePointsPercent (Numeric)\n",
    "#   - LastSeasonPlayoffGames (Numeric-count)\n",
    "#   - LastSeasonPointsPercent (Numeric)\n",
    "#\n",
    "no_nulls = games.notnull().all(axis=1)\n",
    "spread = games[no_nulls].Spread\n",
    "input_data = games[no_nulls][[\n",
    "        'Team', # 'Opponent',\n",
    "        'Category',\n",
    "        'AtHome',\n",
    "        'T_LastWkBye',\n",
    "        'T_5WkAvgPts', 'T_5WkAvgFumbles', 'T_5WkAvgInterceptions', 'T_EwmaPenaltyYards',\n",
    "        'O_LastWkBye',\n",
    "        'O_5WkAvgPts', 'O_5WkAvgFumbles', 'O_5WkAvgInterceptions', 'O_EwmaPenaltyYards'\n",
    "    ]]\n",
    "\n",
    "# The input column 'Category' contains categories,\n",
    "# so we have to make dummy variables to use in the regression.\n",
    "input_data = pd.get_dummies(input_data)\n",
    "\n",
    "print(\"Size of the input set:\", input_data.shape)\n",
    "input_data.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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B00fQY0Q2YqWL3ko+aJeBD6BdWr7QtG9j/08APy8i94qmU0ReJyKB3azjXaSlzbKsjAKe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z6/xmjUwHGOkbKQNSSrH5e7vYDI+TqwjwRLzyNK+g7yfSQQJ/RadJenEXbWkEyViZScbDPv7ViO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Bkk6R6q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\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DHtev5z9yP88n3m5XoN/3EUUb33c5Pu5+ZWqrP46KF672MBwfW6ys5NF1m05nH9NcZ2lp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\n/x8wQFnsEV9cRAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10a77b790>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(2, 5)\n",
    "fig.set_size_inches(14, 6)\n",
    "\n",
    "cols = ('T_LastWkBye', 'T_5WkAvgPts', 'T_5WkAvgFumbles', 'T_5WkAvgInterceptions', 'T_EwmaPenaltyYards',\n",
    "        'O_LastWkBye', 'O_5WkAvgPts', 'O_5WkAvgFumbles', 'O_5WkAvgInterceptions', 'O_EwmaPenaltyYards')\n",
    "\n",
    "for ax, col in zip(axs.flatten(), cols):\n",
    "    ax.scatter(y=games.Spread, x=games[col], alpha=0.1)\n",
    "    ax.set_title(col, fontsize=12)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Set up to do cross-validation\n",
    "\n",
    "- We are using [sklearn.cross_validation][sklearncv]\n",
    "- There is also a module for train/test splits (`sklearn.train_test_split`)\n",
    "- What we're doing is possible thanks to the consistent API\n",
    "\n",
    "[sklearncv]: http://scikit-learn.org/stable/modules/classes.html#module-sklearn.cross_validation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Set up cross-validation\n",
    "from sklearn import cross_validation\n",
    "from sklearn.metrics import mean_squared_error\n",
    "\n",
    "def perform_kfold_cross_validation(model, all_X, all_y, k=5):\n",
    "    \"\"\"Calculate root mean squared error for each cross-validation fold.\n",
    "    \n",
    "    Parameters:\n",
    "        model - a scikit learn model\n",
    "        all_X - a pandas DataFrame with the observed input data\n",
    "        all_y - a pandas Series with the observed outcome\n",
    "        k - number of cross validation folds (test set will be 1/k of the data)\n",
    "    \n",
    "    Return value:\n",
    "        An array of length 'k' with the root mean squared error\n",
    "        for each fold.\n",
    "    \"\"\"\n",
    "    # 'folds' is a generator that will yield pairs of arrays (train, test)\n",
    "    # selecting row numbers for training/testing\n",
    "    folds = cross_validation.KFold(n=len(all_y), n_folds=k)\n",
    "    RMSE = []    # root mean squared errors\n",
    "    # Loop over the cross-validation folds\n",
    "    for training, testing in folds:\n",
    "        # Get the training and test splits\n",
    "        training = all_X.index[training]\n",
    "        testing = all_X.index[testing]\n",
    "        X_train, X_test = all_X.ix[training], all_X.ix[testing]\n",
    "        y_train, y_test = all_y.ix[training], all_y.ix[testing]\n",
    "    \n",
    "        # Train the model\n",
    "        model.fit(X_train, y_train)\n",
    "        # Use the model to predict output\n",
    "        y_fitted = model.predict(X_test)\n",
    "        RMSE.append(np.sqrt(mean_squared_error(y_test, y_fitted)))\n",
    "    # Leave the model fit to the entire dataset\n",
    "    model.fit(all_X, all_y)\n",
    "    # And return the array of root mean squared errors\n",
    "    return RMSE"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Try out some regression models\n",
    "\n",
    "As an R user, [scikit-learn's consistent API][sklearn_api] is really a delight.\n",
    "\n",
    "The lack of diagnostics are bothersome — but in this new 'data science' world it looks like we don't care about scrutinizing the model so long as the cross-validations hold up. Ha. The simple API means switching models is as simple as changing a class name, and the [actual documentation][sklearn_doc] is detailed enough to describe when to use which models.\n",
    "\n",
    "We won't tune the models here but [sklearn.grid_search][grid_search] provides an api that will exhaustively explore a user-specified grid of (model-specific) tuning parameters.\n",
    "\n",
    "\n",
    "To show the versatility of the api, we are using\n",
    "- Linear regression\n",
    "    + Least squares <span style=\"color:gray\">(minimize distance between actual and prediction)</span>\n",
    "    + Ridge  <span style=\"color:gray\">(add a penalty to pull coefficients toward zero)</span>\n",
    "- Regression tree <span style=\"color:gray\">(try to handle the nonlinearity and discrete results)</span>\n",
    "- Ensemble methods <span style=\"color:gray\">(there are other ones than just trees)</span>\n",
    "    + Random forest\n",
    "    + Gradient boosting\n",
    "- Support vector machine <span style=\"color:gray\">(had no idea this could be for something other than classification)</span>\n",
    "\n",
    "[wikiL1]: https://en.wikipedia.org/wiki/Regularization_(mathematics)#Regularization_in_statistics_and_machine_learning\n",
    "[grid_search]: http://scikit-learn.org/stable/modules/grid_search.html\n",
    "[sklearn_api]: http://scikit-learn.org/stable/modules/classes.html\n",
    "[sklearn_doc]: http://scikit-learn.org/stable/user_guide.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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9APD7wL9HxIERcd+IeHxEfLi+uUa1zt/GS2Ls5Sk1bjD2UpUcexNMHPtvwQd515f9nkE1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\nW//9iPhQRFxRH/fciHhORDy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      "text/plain": [
       "<matplotlib.figure.Figure at 0x10b25cd50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "##\n",
    "# Some popular regression models\n",
    "from sklearn import ensemble\n",
    "from sklearn import linear_model\n",
    "from sklearn import svm\n",
    "from sklearn import tree\n",
    "\n",
    "# To see available tuning settings are for a model,\n",
    "# call help on its initialization function, e.g. :\n",
    "#  help(linear_model.Ridge.__init__)\n",
    "models = dict(\n",
    "    ols = linear_model.LinearRegression(),\n",
    "    gbm = ensemble.GradientBoostingRegressor(max_depth=5),\n",
    "    ridge = linear_model.Ridge(),\n",
    "    svr = svm.LinearSVR(epsilon=2),\n",
    "    tree = tree.DecisionTreeRegressor(max_depth=5),\n",
    "    random_forest = ensemble.RandomForestRegressor(n_estimators=5, max_depth=5)\n",
    ")\n",
    "\n",
    "rmses = {}\n",
    "for name, model in models.items():\n",
    "    rmses[name] = perform_kfold_cross_validation(model, input_data, spread, k=8)\n",
    "    \n",
    "pd.DataFrame(rmses).boxplot(vert=False, return_type='axes')\n",
    "plt.gcf().set_size_inches(9, 5)\n",
    "plt.xlabel(\"Error in predicted spread\"); plt.ylabel(\"Model\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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OUllZyWOPPVbsMIQQy5DP5/nhH/7hYochhFiGaDTK008/zZYtW4odyoYlUyIKcQeSKdaE\n2DgkX4XYWGRKRCGEEEIIITYoKZQLIYQQQghRZFIoF0IIIYQQosikUC6EEEIIIUSRSaFcbHojIyN8\n6lOfKnYYQohl+uQnP8n4+HixwxBCLMPXv/51XnjhhWKHsSlIoVxseh0dHdTV1RU7DCHEMgwMDDA4\nOEhNTU2xQxFC3ITWmn//93+XtQRWiRTKxaaWz+fp6OiQFQGF2CA6Oztpb2/HZJLLkxClrre3F4Cd\nO3cWOZLNQc56YlPr7u6mvLyctra2YocihLiJXC7Hyy+/LJVoITaIjo4O2tvbZZXsVSKFcrGpzbWS\nywlDiNJ35swZqqqqaGxsLHYoQoibyGQyvPrqq7S3txc7lE1DCuVi09Ja09fXx+OPP17sUIQQy9Db\n28uTTz5Z7DCEEMswODjI9u3b2bJlS7FD2TTUnbA0riwBfOfSWksr+SJk2W5RqiRnryf5KkqV5Ovi\nVpqz0lIuNjU5WQixsUjOCrFxSL6uLimUCyGEEEIIUWRSKBdCCCGEEKLIpFAuhBBCCCFEkUmhXGw6\nIyMjPPfcc8UOQwixTF/5yldIJBLFDkMIsQyvvPIKFy9eLHYYm1JJFsqVUr+hlDqulAorpSaUUt9Q\nSu1dZL9nlFIBpVRCKdWhlLqrGPGK0vLSSy8RCASKHYYQYhkGBgZ44YUXKC8vL3YoQoib0Frz5S9/\nGZltZ22UZKEceBz4I+AQ8CSQBV5USlXO7aCU+ijwq8B/AQ4CE8ALSinX+ocrSkU+n6ezs1NWBBRi\ng3jppZdob2/HZCrVy5EQYk5PTw8mk4kdO3YUO5RNqSTPglrrd2mtv6i1Pq+1Pgf8FFADPAygjDl4\nPgx8Wmv9da11F/A+wA28t1hxi+I7f/48drud1tbWYocihLiJXC7H4cOHpRItxAbR2dlJe3u7TIW4\nRkqyUL4ID0asM4XfW4E64Pm5HbTWs8BhCgV3cWeSE4YQG8fp06fx+Xw0NjYWOxQhxE1kMhleeeUV\n2tvbix3KprVRCuV/AJwEXiv8Prem6/iC/SbmPSfuMOl0mqNHj/L4448XOxQhxDJIVzMhNo4TJ07Q\n1NREXV1dsUPZtCzFDuBmlFK/j9H6/cgy1/FddJ9nnnnm6r/b29ulprcJWa1WPvvZz+Lz+YodSsnp\n7Oyks7Oz2GHcEsnZze/9738/ZWVlxQ6j5Ei+ilJ0//3309bWVuwwStJq5awq5RG0SqnPAT8GPKG1\n7p23vQ24BBzUWp+Yt/1bwITW+v0LjrPM8rwQdwalFFrrku3jIzkrxFskX4XYWFaasyXbfUUp9QfA\ne4An5xfICwaAMeAd8/YvBx4Bjq5bkEIIIYQQQqyCkuy+opT6Y+Angf8IhJVSc/3Eo1rruNZaK6U+\nD3xMKXUBuAh8HIgC/1CUoIUQQgghhFihkuy+opTKY/QNX9j0/4zW+rfm7fcJ4OeBSuB14Je01ucX\nOZ7cWhNiHrkdLsTGIfkqxMay0pwtyUL5apMTxuY2NTXF7Owsfr+/2KFsGHKRF8Witaarq4u77rpL\nFgxaJslXUUx9fX3U19fjcDiKHcqGsen6lAuxXN/+9rd57rnnih2GEGIZBgYG+PznP1/sMIQQy6C1\n5jOf+QyBQKDYodwRpFAuNrR8Pk9nZydPPvlksUMRQixDR0cH7e3t0kouxAbQ09OD2Wxm+/btxQ7l\njiBnRVESIpEI3d39dHf3E4lElv268+fP43A4aG1tXcPohBALrSRnc7kchw8fljmshdggXnrpJZ54\n4glZJXudSKFcFF0kEuG11y4zMlLByEgFr712edkX+Y6ODlkRUIh1ttKcPXXqFDU1NTQ2Nq55jEKI\n25PJZDhy5IhUotdRSU6JKDavSCRCIBAEwO/34fF4CASCWCx+vN5qAEIhCASCeDyeGx4rlUrx2muv\n8YUvfGHN4xbiTrRYvgIrztnOzk65wAuxQbz55pts3bqV2traYodyx5BCuVg3c61rFosxS8rg4GUO\nHWpZ8fGy2Swf+MAHqK6uXp0AhRBXLZWvNyt438h9993H/fffv0oRCiHWUm1tLe9973uLHcYdRQrl\nYt0s1brm9/sYHLxMKGTsl80G8Ptbbno8p9PJU089tYYRC3HnulFr+EpzVrqaCbFxbNu2rdgh3HGk\nUC6KzuPxcOhQy7zb5LfXGjffUrffhRArJzkrhBCrTwrlYt3cqHXN4/Gs+sV3LW6/C3GnuFlruOSs\nEEIq0atLVvQU62o9E7i7u5+RkYp5t9+naGgIs2dP25q950YhKwSK5VjvC67k7OIkX0UpWliJzmYD\nUokuWGnOSku5WFer0bqWyWSwWCwyb6oQa2w18lVrTTabxWq1rlJUQoi1lMlklpWvK52FSSxN5ikX\nG84//uM/8tWvfvWm+/n9PrLZAKHQFKHQVOH2u28dIhRCzOnv7+cjH/nIsvaVnBWiuLTWfOhDHyIQ\nCBQ7lDuSFMrFhpLP53n55Zd54IEHbrrv3GC0hoYwDQ1hua0mRBF0dnYuexpEyVkhiuvChQsopWho\naLjpvgsr0eFwL7FY9JZX5hZvke4rYkPp6urC6XTS2tq6rP0X3n6XQSlCrJ9cLsfLL7/Mpz/96WW/\nZn7ORiIRurv7AclXIdZDR0cH7e3ty+oeOn8Wpmg0SjisiUQaiURkkPZKSaFcbCgdHR0rnus4Eonw\n4ovnCIXKAPB6x3jqqX1y0hBijZw6dYra2lr8fv8tv1byVYj1lclkOHLkCJ/73OeW/Zq5SnR3dz8V\nFY3Sv/w2SfcVsWGkUilef/11HnvssRW9vqdngN7ePKlUC6lUC729eXp6BlY5SiHEnNupREu+CrE6\n5u443axbyZtvvklLSwu1tbXrGJ2YT1rKRUm5UfeSyclJHnvsMaqrq1d07PHxEGZzE2638fpYrIHx\n8aHbD1qIO9SN8lVrjdaaRx99dEXHlnwV4vbdytz/0WiUd73rXSt6n5Wu8iuuJfOUi5Ix/+QRj0cZ\nH+/mnnsa2L27dVVugR07dpqOjhQez87C+/XyxBNlPPjgPbd97I1G5j0Wt0vydf1IvoqVWs+5/2XM\n1ltknnIBbOykmJvz1GKxMjgYIZncRVdXnJmZ1Rkwsnt3K8PDXYTDRmtbXV2O3buXN2BUiLUg+bo0\nyVchNpa1WOX3TiOF8k2klJaovp3CxsREELPZj8tlxu22YbHYV2XAiMfj4amn9s6La6ucQETRSL7e\nmOSrENe71VyVbiUbixTKN5FSWV1rpYWNuZNHNJohFgO7PUdNTT3ZbGrVYpOavCgVkq83J/kqxFtW\nkqvzpy0E8PtlmsJSJrOviFU3v7BhsZQxMqI4fPjkdaO+F44Inzt57N9vwevtpbnZRjabklX9hFhD\n8/PV660mlarg8OGT183UIPkqRHEtzFWLxX+1sC02BymUbyKltkR1LBbj7NlRgkEnExMuXnvt8tWL\n/FyNf2SkgpGRiqvPeTweDh68h/e852F27MjR0BAmFOrm4sWLRfscQqyFUstXMHK2u3uciQnXNXl5\nK/na0KD42te+VtTPIYQwLJW7c8+dP9/Hxz/+CUZHR4sapzCUbPcVpdRjwK8B9wENwPu11l9csM8z\nwAeBSuAN4Je01ufXOdSSsVq3qW538Nncbe3BQUUy6cRuj7Ft2w6y2czV2/Pza/yxWIQrVzIcPnyS\nxx679+ota4/HQz6f5/d+77d56KGHbvlzrIaF3wWwYQfmidJSavkaCsHg4Ahap9m27W5cLs/VLjXA\nsvIV4C//8i+x2+23/DnWwkYeSCvEQivpH75UNzmA1167zMREguHhcU6fnsDpdEqOFFnJFsoBJ3AG\n+CLwJeCa+ZaUUh8FfhV4H9AL/CbwglJql9Y6ts6xlozb7YO5GoPPPB4Pe/dW0df3KqmUg7177ytc\n4Keuvkdf3xATEzOkUkn6+6dJJitRysZrr137fufOncPtdtPS0nLDmNfiwrvwu+ju7gI0FRW7AFlG\nWNy+UsrXU6fOkUyO0tKyF5fr2tfHYlGuXJlheHiYiYk4sGXRfM3lcrz88st85jOfuWHMa1lQnjt+\nNBpleDgu+So2jYUVebe7ikAgSCAQvOVcmius9/V9hQMH3o7V2igrcJaAku2+orX+jtb641rrZ4H8\n/OeUUgr4MPBprfXXtdZdGIVzN/De9Y9287jVPmuLrRQWiUQ4dmwIrVuZnrZw7Nh5AoHLZLMB3G4b\nL77YxZUr5Zw7N863vtXJzIwGwphMEAhkrq7aF4lE+Jd/+QZ33XX3kquQ3ejW3Gp/F+Gwi1CoTPrz\niZKxmvk6OVmF1q10dZ0jELh8tUuN222jpyfIuXPjdHZe4ezZcSBMXV01gUDmmvEiR44coaLCSzg8\nu2germW+Ljx+V5eJ3t48FotV8lVsGh6Phz172vD7fXR1Td80l27UTS6bzdDdfZS7725f3w8hllSy\nhfKbaAXqgOfnNmitZ4HDwMPFCupOs9QF9sKFAS5eNGMy7aKx8V4ikRyzs+fZu7eKo0fP8OqrIVKp\nZhob7yUWsxCNngXSJBINTE1VcurUKMPDwzz33ClOnz5DPr+bF1/sWvSEIwNfhFiem+Xr7GwTJtMu\nzGY/s7Pn8XiGqazUHD16hkuXrDQ23ovdvoVEwoTVOk1/f5CpqUomJ6t47bXLDA8P8+yz36Ky8m5e\nfz2+aM6udb7OP77bXYnZ3MDEhJwPxOaz3Fyaa103xnuEr94t8vt99PV1UF3tR2tTSYxpWanFGhs2\nqlLuvnIjWwo/xxdsn8Dofy5W6Fb6rC3VV21iIoTJ1ITb7cXt9pLLJdH6Al1d0/T2ZonFWhkby7B9\nu4/t2/czPv4cRl3KjN2eo65uD0eOnOHkyTAVFTuAvVy82Etj48C6rua38LuoqIgB+mo3HJnvVRTb\naucrQCzWiNYXmJ5WWCx+enuvMDxs4sEHKzhwoIJjx9L091+gqakVuz1HW1sr2WyKw4ePMjw8xGOP\n/RdmZ91MTKx/zs5XU+Olr+880ah5XgthS1FiEZvDRhmjsFicC2P1eDwkEgHe9rYDNDSEV3WqxPX8\nnkppvYfVsFEL5Tey6Fq/zzzzzNV/t7e3097evk7hbCyrMfisrs7LuXMjRKMVAORyIyhlDBRratKM\nj4dJp90MD1/B4Zjh/vu3AnHcbhsOh4fx8Qn6+/twOh/j8cd/BLPZRizmY2Ji6Lr3ut2FEW508lj4\nXRw8uBeACxcGmJgIUVfnvaXvpZg6Ozvp7Owsdhi3RHL25tY6X73eapqatnL58ijDw1eor6+lsTGJ\n222iqipOXV0tk5MhotEZZmaCPPjgM1RXNwEsmrNrma+LHX/HjhxNTWVoPYxSbw1wK/ULtuRr6Sm1\nwt9SuXQrcf7sz/4sw8OTqxrXen9PpbLew2rlrNJ60TJsSVFKRTFmVvlS4fc24BJwUGt9Yt5+3wIm\ntNbvX/B6vRE+50azMPmy2QCHDrUA8I1vvMHly0kAWlrs7NpVSyTSiMVi5dixc4yPZ6isTLBnTwUP\nPthMV9c0qVQF3d3jJJNhZmZG6OoKsHfvA2zdupN0epi3v93NwYPXt7qtdIaUpeK/UTKv5DWlSCmF\n1loVO46lSM6uvpXk69xsKx0dr2G15qmvr8XrTfHgg80cOzbExYtm0mkn4+Nnicd7sFjq2bPnHdjt\nbsLh7kVzdq3zdbHjb/SclXwtvu7ufkZGKuYV/qZoaAizZ09b0WJarJK63DjX6lq23t9TKf6/wMpz\ndqO2lA8AY8A7gBMASqly4BGMaRTFOliqlS4SieBwuPD7jV5GDkeM+vpqpqcDgJ+mJjfJ5Am2b6/l\nwQebaWxsxOPxcPjwSVwuE+l0OeFwNfG45vjxsyQSV3j88RZ27bp7yTjmTiS3UktfSQ27VGrlQtyq\nleTrXCvc9u0mrNYcTmeMAwe20djYyOjoFKOjEQYGJojHy5iZuYdQ6ALwAgcO7GTnTiu7drUuGsda\n5uvCW/Xd3f2Ss2JTmvsbnpuB5VZslmvZ7d59KzUlWyhXSjmBHYVfTcBWpdQBYEprPaSU+jzwMaXU\nBeAi8HEgCvxDUQLe5Ja6bbxYX7VAIEhFxU62bn2r5hqNGgNMenoG6O8f5cCBJ3A6XXR1BYhGo/T1\nTTA4OEr2po8vAAAgAElEQVQyuYVYzEIy6aWhYQfp9DCZzBANDY5lnSx6egYIBLK43WFqa32A/6Yn\nmlgsdvUWvNudX3I/ITaK1crXQCBILBYlHHZRUbETgM7Ok9hsZwgGIySTWzCbvSQSYLc3UlZWRybT\nQ01NnKeeeuSmOSv5KjaKUiz8LVap3bu3qjDbCsTjMcbHu/F46q8u9rXW1vt7Wq31HkrFkoVypdTf\n8Fb/bMUSfbUBtNYfWOW4AA4CL829BfDJwuNvgQ9orX9XKWUH/hhj8aDXgXdoreNrEMsdbaV9xBZe\nPD2eNlwuN3V1FaRSOVKpMNFogm9/+xyNjU8yO+vlxInnsNkqSSTux2TKUF3djMdjI5HIXnf84eFh\nTp3qA+DAgW14PB5OnRolFNpJKlXB+PhlmpuXjtHv99Hd3VWYKcZHLhemosLE7t1Ln7xK8cRcCkrg\nfCEKbqdPZywWY3BwhGRyGr/fx549bYWW5gqmp8NMTY1z5MgwdXW7qKjwL8jXGFVVPjyeLA5H/rr3\nK0a+zr1OcvZakq+3rhQLf4u1dkej4cJMZ29w4cIkO3fez+ioi6NHn2fLFgdtbX527Wpds7woxvd0\nu+s9lJIbtZTXcG2iPoYxX/hZjCTeh9GCfXgtAtNad3KTKRu11nMFdbGGbnaba2Gr3I0unrFYlPPn\no1RU7CGZjHL48Ms4nX727fNht7cxO5vk3Lm/JhJJUVHRTigUIpsdxeHwXxPT8PAwX/zim9hsRpeW\n06ff5OGHa6ir20MqlQbMJJMuxse7aW//vkU/l8fjoanJQSiUxe2G2tq7r1l1dKnXlNqJuUQU9Xwh\n3rKSfB0cvEwgEKO7exyt01RXb726MNBcztpsjRw7doXh4QyNjRZaW+8p5OvfEY9P4XL9YMnl69zr\nJGevI/m6Ahuh8BeLRRkcVMRiddjtuxkaCjM7O8CVK9UMDzvp74/wwgtf4hd+4SeuywuA48dPMz4e\norbWy+7drTcdY7XcO3JieZYslGutf3Du30qp3wCSGEvdxwvbnMBfY6y6Ke5QS7XKzV08zeYo4CYU\nytLTM4DWoJSNZDLOwECAZLIF8HDx4mV27GihosKH1Rpi1y6FxTKBx+PCbvfidruuvl8gEKSj4xj5\n/D7q69tIJiP09FTy0kvf4+BBP/v31zM5GaK8PM7evQ1X+80udvJwudxs3VqBxWJlYiJINDqDx3Pj\nXl1ywrmenC82hqXy9dChFg4fPklNjYstW1qIx9MEg5mrOZtKpQkEAiQSW0inKxkaGqGtLYLXW0td\nnQm3O4zbvX75OjcA9cqVyySTsZtOuyY5ey3J1+JY7akCF2vtjkZjXLqUZ3AwANSjtZnp6TSpVD3J\nZI6RkVEmJo7T2/sIDz104JrK+osvnqO3N4/Z3ERXV5Dh4S6eemrvonGW2mw0m8Vy+5T/CvD2+V1D\ntNZxpdRvAd8FPrUWwYnScKPbXEu1yrlcbnw+E4ODEcxmP7FYmFOnernnnnr27Kmjv3+Iysoq3va2\nKrq6TtDbO0tv78tUVgZxuVz80A/9IKmU0V+0rKwOlyt/zUlgZqaCK1cm8XhGCASCRCJV2O1tHD9+\nlC1bmrDbHXi9KXbv3nfDk4fRqj93Imogn88xNJRm16716X+3Scn5oohWkq979rSxbVsT+byJ/v7p\nQs5yNWd9Piu5XBUul4lksptgME5n57O4XCFmZsZ5+ulfoLJyK7D2+Wq06kc5f34YpWz4fC1XW/Ul\nZ1dE8nUdrFUhtqpKMz5+jtpaLw0N1Xzta32cOePFYtnPyEgXmcwIs7MOHI4qYjEXudwJvN5dvP76\nJZRSuN1u/H4fgUCQUKiMiooW3O5qJibsdHefx2Y7yYED24hG08BblYnNMlC01Cy3UO7EWJSna8H2\n+sJzokSsdk187nhVVRqthwsJfPMTid/v49VXjzAz00w2O00uN0lT01aUSpPNBojFpgiF0kAUjyfP\nwECSyspa0ul+fL5GLl8+QW3tLpJJTSgU4L779l1zErj33nvo73+V48fHSKf9mM1TPPLINvr7bYRC\naRwOL4lEiJ6eAcbHQ+TzW/H5rj95eDweGhudhMMm3G4bNTV3kc2m5ORye+R8sUxrtcjG/Av1zW5B\nz7lxzo4TCmVJJDJYraOUl1cRjcZwuUzYbF66uvo4dMhXWGegm/r6ei5ciGKxNC47XyFNJBLh1Kk+\nJiZcbNtmxeXyXJevc636dXVVtLW14nK5CIWmJGdXTvJ1HcxdvyyWssJYK8WFC4svrrWc80IkElkw\nlalRaDabG7DbnbhczYCFoaF+PJ4kqdRZotFa7PZunM53MDZm4pvfvERZmRW3O83+/fVAOQCJRIKB\ngSnKyhxcuBDmhReeY+fO/TQ1bblamRBrY7mF8meBv1FK/TrwWmHbIeAzwNfWIjBx61azJj63/Pbp\n0yPU1e3B6Wwkmw2we/e1J4ilWuU8Hg/btnno7r6Cy9VKVVULV64MU1ubIZFIEg5HOX++B5utAqUa\ngRTNzQ0MDDxLTc37iEbzHD/+HFu3NrJv3166uqaxWqMMDsaZmUlSU+Pl+76vlRdf/Fdcrgq2b99P\nb+8gZWUN7NpVQU2Nl9dfT5JOZ1GqivHxYSoqqgDTNQPZPB4Pbreb5ub585ymbvN/4o4n54tlWO18\nDQSCRKNRhofjVFTswm5vZGYmcM1+N2pFv1HOOhw2hocvkUh4SKUayGSCbN9+F1NT38LnewC3+z5e\neunb+Hwe7r77ESKRBs6d68BimaWu7ub52traSCBwhe985ywWSyNTU04Sicu0tfkYH5+6Jl+NOJuw\n2ytwuVy3818gDJKvy3S7leh4PMbg4DRmcw2xWJrTp3uuqzTPnRdSqQqGh0cIBl/hkUe2s3Pn1mta\nqw8ffp1nn+3G5TqAy+Wlv7+LbDaEUo3Y7TFSqW4qKhRudxOhUIKpKTvh8FmUcuHxlNHbGyIYjFNR\n0YLDYSKVukxDQx0TE0mmpowuprW1ecbGYiSTDzExUU4iMY3DESOTMVrP52Z5ARlAvVqWWyj/ReCz\nwN8AtsK2DPBXyLzgJWO1bifNnRRGRkyEQrtIpSLs31/FYtOVRSIRRkd76et7mba2LTz99KGrfUKD\nwTCQwOt1YLeXkU6nGRwcY2xsC3b7fezYcTf9/S8SDndhtT7AqVNvYrfXkkqZGRpKYre/E5MpTTCo\nAcXExBiJhCYYdNLXdx67PcC73/0egkGN2VzJ9HSARGKQmppHmZwMYTL5CgPCapmYOM+5c6eJxcqu\nG8i2sKASDvfi8Tjo7u4v6aWUS5icL5ZhtfPVYvEzOBhnfDzPoUPXtzLP7btUvgYCQYLBMB6Phbq6\nWgDS6TTBYIRMpoYdO6oYHLzEyAhYLD4uX45jsVwilXqEiYkM2ewu0ulKgkGNx5NkZsZNJDJGIlFz\n03wFmJqKYDbX0tbWSjw+ysyMmRdfPEZtre+afJ3fjaVY075tMpKvy3C7lWjjTtRRksmduFw57PYY\ndXV7rhby535Go1FSKS89PdMMDuZJpe7j2WcvUlU1xMGDb8PpdNPd3cW//uvrTE8/gNZVZDIxystb\n6es7QjA4QSDgI5ezkUp14ffHmZ3dR13dg2Sz3yOb3cHlyxfp7nZQXf0fSKWqmJx8g+ZmG088UcOu\nXXD8eDctLX5cLg99fV6yWTcmU5bBwQTl5WU4HHa6uqbZu7eKaDRc+Hw3X3hvLe4KbjbLKpRrrRPA\nLyqlPgJsK2zu01rH1iwyUTRzhQW3O8nsrAuoYGIiSFVVxTX7DQ8P82d/dpjR0SpMpnYCgT6s1h7a\n2+HYsUEuXlRkMg5GR99k377t+P2NDA8PYzY34HQ6yWQcOJ17GBs7Sjg8jdlcB2SYnT3DgQOPoLUb\npzOP2VzBpUtH8Pt3cs89WwsDMs24XGWUl7txu8NMT59jy5YkNtss4fAUPT2XGBkJ4vHsQCkbW7e6\nmZ7up6ZmB9u23V0osExd7U+7d28Vp06dIx6Pk8lYiUR2EonI4JWVkPPF+ppfuJ+ZSRIMOpmYCOJy\nXT8l4Y3yNRQqY3RUkUrFcDiGcTjc+P2NzM6e59KlCfL5e7Bay0gkvge4mJ6+gsv1KNmswmodpq2t\nBofDg9nsp6fnHE7nDtraUtjt3DRf+/sHGBw8TVPTLiYnQ3g8mvHxy1RVmTh06Np8nWst37u3iiNH\n3qCnZ4KdO+8nEmmQvuUrIPm6PLdTiZ4rkFZU5Emnh/D5oLa2hWw2QzQ6zIsvjhEKlQEQjQ6Qyfjo\n78+QyTTidnuJRMYIBKC6OsDOnds5eXKa7u4YodAgkcgsNpumqmoSrROYzbsYHR1iYmIWh6OSYDBA\nbW0Cs/ksFksrZnM5weCruFztOBw+bLYKTKYtRKM9RKMxEoksdruZiYkBZma85HLVpNPnmZ62MDSU\nx2qdZvv2u0ilKolG01f7o89fvGhh4Xt+hSYej/Hqq0c5cKD+6uJiC1fgvXBhgImJEHV1XnbtWl73\nu83iVhcPKi88TmutZ9cgHnEbFrs17XZX0d3df/X5xZakXpgAc2pqvIyNjZJMmsnnhwiFelDKQywW\nxeVy8/rrJ+jvzzE7a8bnM2Gz7eLKlRGOHj3D+fMWkslqpqfDmM0pWlpCbNmiaGqq4rnnjjM76yEa\nNREM9mO12rDbQ/h8DiKRclwuJ7lcikTiBNPTdUxODmGzBaiuvgeXy3P1Am0yzXL06KnCNGtu0ukz\nPP54I6dOnaesTBGJJDl+PMzWrTZMpks8/HAT+XzLdYWVSCRCV9c0dvs+JidHGB8P09S0eEujuCVy\nvriBpbqS3KhF6WatTTU1Xvr6zjMxkSQanSEaHUCpeoCb5ms+7yaVqiYQ6KaxMURjYyPhcA/xeJxo\ndJZwuIeZmSzhcIxsdgi/fyfx+AQOxxRu9w4slgncbjexWJhUKozVamfr1ruu9vm+Ub6azbU0NW3n\n8OE32bbtUcrLHUQiYxw69OB1+Tr3PXR1TZNINGG37yYYjFFfb2U5iw+JJUm+roH5BdLy8r2EQidp\natpKODzN+Hg3VmuMy5c91NXtAmBs7AoDA6+Ty91DLpclGDxDNjtNNluFUhHOnTvJ1NQYoZCd2dlm\n8nk3icRh0ukzeL2HGByMMDbWSjjsIp0ewWp1MzR0lm3bfoBMpo10+jV27qwmm82Rz3eRy9XjcEQw\nmSbp6LBjs+3nypU8s7MB9uwxE4tdoK2thpdeepPR0Xr27bufc+c0o6OXcbksDA7Grt496O4+B6ir\nC43NNWrN708/ODhNMrmTs2dnGBq6dv/u7i4SiTiBgAeTqYlz50YYGjrHU0/tu2NyelmFcqWUG2N6\npB/BmNt0B9CvlPpTYExr/cyaRSiWbeF8vG53FV1d00vebjOmQJqbT/ytBHjwwWay2QDgp7nZxuXL\nb5LLmXC7d3P8eBSto7S0mHjuufMMDtZhsfgYHY1itQ7h8cDwcIz+/hrKymyYzR7C4SCpVD979z5N\nZ+ckwWCWUChDMtlHItGDw3EvHs99OJ1xamrK8PmiWK0XcDrryWZt5PNTtLY2FvqvGX1Is9kAlZUu\n9u9vJJ02A2Cz3cvAQBfptJtgcIbq6q3YbBZcrim2bTuA0xlmZub6PnDLbWkUyyPni+VZbP5sYMlb\n5PP7mk5NRchme/n+7993XeHe748wPR1ldracmZlajh3TtLTEr+ZreXk9kQjYbJepqckwPDxVyNcc\nYCObdZNK9ePxeAmHFYlEM7HYDFNTV5icnAKqqK5uorzcS329i+ZmTTQ6TmtrJdXVVnp7X6G52YHF\nEiGbTREKpZbM1/Hxy9TV3UU6bWZ4eBy//15crikaGx00NT1ENDpEKNQALD6LzM3u5ombk3xdnpUu\ntjP/+jLXyj4728XYWAqzuYFz52KMj4dQahhjzFMCh6MapzPB0NBJhoczhEJBqqsnUGo3s7MpIpFT\nmM33Ul5uJx6PYrHUY7EMEQgkGB8fIBJxkMmYiMWmcLk0ZnMrU1OTVFXtxmY7hMVymurqGdJpjdU6\nSn39JHv3NjA1tZ+ZmRSZTA3JpIWBgQFaWvz09p6kqupucjkTo6PTTE1lmJrqp7bWTXn53qsr8vb3\nRxgaitLaamPnzkbKyvzXtKBPToZIp11EoyGs1lmSyTwOh/fqasKDgy5GRkJUVe3E7fYSjVYQCl2+\noyray20p/wzgB+4DXp23/d+A3wGeWd2wxErNn4/XWIlv6dttgUCQ0VETiUQlDocTm20rodAE0Wj6\nmsLCli3bGRvz0t8fJJGopKKinNHRfrze/QwMjBMMXkDrLVitCYLBIHV1biYmIlRWVgGQSvVRWekm\nGk0TibiwWKrI5/Mkky48nmZ27vQRjYbIZPJYLEGamqrxeBzE4/XU1TVcnRHF7R7G7X6r/5oxsM2F\n319d+DxXOHVqiImJvaRSW5meHsXhCFNZ6QSMqZ927/Zdt4jI/JPGXEtjNGomFJqSwSsrI+eLZVo4\nf/aNcjYQCDIzY+XcuQBmcw0WSxPf+c5Z3vOe71tQGa9hbGwH/f1BtK7CZnsrX4eGpgmF+pidtWO1\nDvLQQxbKyy3X5GsodJ7KSjcul5uKikYmJ4cIBqMEg9Wk0yns9ln8fjvZrMJmU9hsdlpaZmluTjE2\nNsyBA+04na7C2IxhXC73ovkaCk0xODjB2bMzuFwtpNMmRkbCuFwmlLLhcJhpa2u4JucXuzMwdzev\nrGwGjycm+XrrJF+XYTUXoRoaGicQqKOxsQmlcly8eIF0OkA+X8nk5BT79u2koqKcwcEo6fQkuZyJ\nZLKacHiCmZkwTmeOcDhDKpXGYikjnU5gsdQxM2MmGk2TyVwhlSonl8uidZCyMh9lZS48HhdlZZDL\neTGZpqmtjeN2u2loMMaQXLwYIBx2MDSUIB6fpK3NQyg0i9Xqxuut4sqVGGNjo9hsYTKZGC+/PMO+\nfffj81Vw4cKbHDvWhd1+EKijt/c8jz22hYaGsqsVmvHxJOfPZ7DbFV5vE31932PbNtuNv6w7zHIL\n5e8G/pPW+pRSav4qYBeAttUPS6yHaDRKX98UuZyfdNpBLDbG7t0JoPKawsKxY6f53vcuMzQUZ3Iy\nQFlZhj17wGaz43bb0dpFIjGAyzVFW1sbSkWora0utLyB1VqN02n8u6fnEl1dDlyu/eRyFUxMRLnn\nnhjNzV6Ghq7gcMRoaXkHweAUk5Nx3O4Ek5OQzYaYmgrgcDipq/MCPq4d7BXl1KmXyWbdZLOzZLNl\nBAIz2O2TbNmynXz+JPX1fg4fHgLeWuYbrm8B2bEjR1NTGS5XWFb/Wxk5X6yBaDTKsWMBcrm7cTgq\nmJ7up6rKdXVcxHLytarKxdhYknx+FJstiNa1OBweams9i+ZrPB7j9OmLjI1lyWbtmExuYrEgMzPD\nNDQ0MjNzhrvvbqepaQ9jY9243S2k02bS6STZrJvx8SlcLjdwfZ6Njp7k3LkAfX2VlJcHSaUCTE8H\nsNt3Mz09wvT0q9x/fw3Nzc3X5Ov8Y83dzRsf72b//np27ZJ8XQHJ12VaySJUCwclnz17ktlZD7FY\nE2Njcex2B1VVDczOTlJd3YzXuwu3O0kgkKGsbDt+f5YrV8yYTPtJJC6TzU5hMpnROkAm42B2FsrK\nJigv9zM7G0apJODFbK4BhsjlZkmnz1FWtoNYbJzh4TdoaWmivNyoWJeX7yUYzNLX9wLDw1PkcvcS\nDg+TSkXI5epJJkOUlVXT1XWUS5e8pFIOysqClJdbaWpqI5UKA34GBiIoVUt9vTEQdGrKR0/PCR55\npJ0LFwYYGemlt7eHWMxOW9s7sNudeDx2crkRQqEpACoqYlitVgKBXmIxH7ncCDt3mq72Nb8TLLdQ\nXglMLbLdDeRWLxyxmm52u00p8HgsTE2NkEymSSZHyeXi+P3Xzpsaj8e4dOki09O1hMNuUqkhnM4E\nJlOYsjIvNhs4HHfjck0zOjrBAw+48fshFBoEwOeDlhY/breN3t6zRCIPEouNkc1ewmxOcfLkWe6/\nfztmsxe3u5GKiiosFhtHjrxKLGaloiJJd3cHW7a0YDI5yeV6uP/+Cd797oc4dKiFnp4B+vtH8fl2\nMzWVZnw8QFmZhYqKOszmESyWSbSu4q//+g3a2n4AMJb5ft/7uNoCOX8e9oMHF1/BTCybnC9W6EY5\nqxRAAqXSQBqIodT1p/Ab5Ws+76WsrAGnczsu1zQTExM0N6sl8/Xs2TcZGooSj3vJ50NYLFkymTij\noymcTidtbQfYt+9eXC4PQ0NDHDs2wI4dDzMzE+C1157D73ezf7+J+voxnnpq39WWxlgsSldXlGz2\nfrJZTSQSA7yUl0+RyUyTTldw5YqXUMjBgQPV1+UrcM3MD+3tD0vOrpzk6xqa38Le1zfE/v0HCIWS\nhELTpNNOotEAVusIVmsSmy3Atm1b8fvTnDhxHKXyeL1NRKMZkskhcrnLeL1mtI5js7VhMmWIxxMo\nVUU2m8TvdzM5GcDh0JhMYbJZJ1brQerrr+ByHaey0k9NzQ6czhCVlfWMjVVRVubE4XAyPl5JS4uX\nXC5MPj/N5GSeaHSa+vot9PQcLcytbsVs1ijVSigUJhqNsHOnD4cjhtsdx2r1UVXlIRy+QFlZlK1b\nyzl2bIgzZ9IMD/sIhTQWi5np6Uv4/Xnuu28X9fVhXC4jjw8e3AvMDfQckoGeN/AmRm36cwu2/xxw\ndFUjEqvmZrfbXC43991XwchIgIGBY7hcsH9/03UJEI9nqaxswGz24XRCLFZHefkkDz1UTXd3hjNn\nkpjNMfJ5K9PTWZxOCxbLDC6X0chisYzS0LCXaDTN1q0NnD9/HpPJilIuZmYus3v3NLlcEru9kmzW\nxcmTZ4FytmxpxudLAWk8nu2Mj5tobt5HNtvE9773PXbtGuDgwXtwudy0tTVisZQxMHAcperI5xO4\nXCby+Was1nr6+4OEw/Xce28tDoeL0VE4cuQMXm9jof9uxaLzsIsVkfPFCt0oZ10uNw8+uIsTJ04S\nClmxWCyFC/Hea45xo3w9dixMIFBOfX0lFksVyWSW0dHL5HIxXK67gGvzdf/+AwwMfIMzZ0YwmXYT\nCvXS0jKFz+emsbEJs9nI18bGrczOZoAEyWSIU6dOMDbmw+HYzYULJiYnQzQ1Gfnq8Xjo7u7H7d5O\neTm4XHZMJhvx+DlyOTc+326yWRsez4NUVZmx2dyYTHcvyFejwiIzrawKyddlWu60fovtN7fvxYsK\nrc0oNcHISBfBYA8zM2V4PA8SCFziwoXncbuzJBLTmEwOzOY2QiEb2ew0O3YcIBqdYWoqRT6fxuXa\ngdfrYXr6JbQeoaxsDw5HmtlZmJ0tx2ZLU1k5TWPjOHV1T/P668+Tyfg4dGgH6bSFTKaaVCrB7Oww\nqRRcvnwSv/9eZmcnCIVmsFoPMjISYmxshEzGT1lZCyZTNeXlTvL5I8zMnCUa3Us0Ck7nFOfOneHC\nhW1ks2mczgCPPvoQ4bCLfN5CTU09bneMiYlzQAW5XJZsdgStndd9n4stqHSnWG6h/DeAf1dK7QWs\nwH9VSu0DHgQeW6vgxK270clgobkl5kMhjc/3IPl8kJmZXOEYATo6TjM7m0TrFKOjSSYn89hsfuLx\nEIODo9x9dy3V1WZcLhvDw2G0TuF0ejh5cpR77nmUVEozMxPBZttKb+8VEoks6XSa6uot2GxeRkfP\n4vNVASmCQRPZ7BSjoye4++79KJViaOgs73znA9jtLlKpILlcA9PTIcbGAuRyEZ5//ggA4+MhYrEE\nZrODqqo8zc1JysrCRKMWtG6hvNyC1RrH49nOzEwIh8MYLDo1FcHnk2WC14CcL5ZpqXxd7G/QyNcx\nnE43WrvJ52eoqvIC0N3dTUfHaQDs9hyjoxMMD8ex2xvJ5ZJMTk6TTFbg9WaYnIwzODjC1NQwzc1W\nEgkfTqePlhY7APH4Vo4cOYNSRoHe56ukurqcqakJysrqqKk5STy+i5mZBBcvnmDbtu1MTlq4cuVN\ndu/exuzseZQy4/PtIJ8vY3Q0xcTEFG53oNC/3FeIUxEOXwB85PMmqqvHsVrt5PM5kslwoWK9E8gD\nkq9rSPJ1Gd4aaO0hGJwil+vh+79/P42NjYvut9hg7bm7T/l8K6GQmfHxFJnMNpRyYDKZCYcjTE1Z\nMZlaKStLMzt7herqHE5nBrvdS2Ojg3g8QXn5o+TzJuAUVms5ra0uamrK0NrMvn27eeWVCUymMkwm\nJ1VVo2SzNr71rRNo/Ti5nJvnn59mz56LhEInmZpqxuncSjptY2zMQiwWZ3raTCZTidVqJZEIYLfv\nxWYzkcnYyGTypFJnaW6O0tbWwOhokKGhEOl0mnjcQyikcLtbsVrLeOONy2zbVg8YOVpebsfv91JR\nEcflmgEqiUYbiUZl+uE5y52n/KhS6mHg14E+4O3A94C3aa3PrmF84hbc6uIGHo8Hr1eTy6UoL59h\n586tlJVZOHz4Db761Uso9UChwHsKrSOMj58inx8gm3ViNjdz/rzG7Z5kcrIHl6sdr3c76fQFcjkP\nw8NBQv+bvTeNkeNM8/x+kREZmZGRd2blXSfJOkgWL5GUSEktqXt6WlLPTs8Mdtz2wtjBej6M18Ya\nhv1hAV8Y+6M/GIaBwQ4WGKx7DawxHq93jp1Wz3arW01JLYpki0dVse4z7zsyI/I+wh+KokQd3SSb\nOlqTv09ZwWTVm5nxf/I9nuf/aDKiGGIw0Flfv8Hp02cplwVE0Y4s7+LxmASDdYpFO+vruwwGBg5H\nnkbDgSw7GA79vPtujkhEoNdbI5tts7cH1WoR06yRzye5datBLOZhf7/ExMTzdLtDksn3uHTpBDbb\nkHz+FrHYSY4ePc5f/uXPWV8v0+3WsFg2OX9+nOHw8/t8/r4wihcPx+Pq1WoVSSRkZmefekCvsvwc\nvV6bra2/BkDTZFKpFKrqYThUuHvXxvR0iNdf/zGCMIXVGsUwSgQCRzGMMNlsFcOwAHa2trrYbCL1\n+vbkOWgAACAASURBVB6pVAa/f4x+v4fdnqXTkUgmRXK5DazWPJGIyvLyLn7/NJubdVRVR1Vltre3\n0PXTDAY2KpV9qtU6166VcLsHfOc7J1lZMeh2naRS6whCmpdeWsDpNBGEA7pdF6lUmmSyhqrGUJT0\nSK+fESO9PhyHXtwNrl17D0Hw4/cHeO21Zb773QcX0evru6TTfVyuGoIwZH29yPb2XX77t5+7f/q0\nvb1PNBqh0Riwu6sDUbrdMv3+GP1+GI/nAhZLBphGVRUWFgT6fQldv0k8/jyqqlOrbSHL84hiBrv9\ngJMnvQyHc9y8eRWvd45224LN1sbvr7Oz06PfP4qqhlGUIMWiwO3bS8zMjNFsDslmt/B6TWKxV7DZ\neoATqzWGz2ej1wvQbu/hdGo0Gl36/SpW63U8Hguy/CyVSoR2O8L6+uv0+wqh0HOoqpVez4+mvUe/\nn8FiaVMs5oAO4+MyCwsOEokgup4YLbI/wkP7lN8T5z/+DMcy4lfkUZsb1Ot1lpZyaNo43a6blZU8\nc3Merl9fQ5ZfxGYLAfN0u24Gg5/i8dhoNETc7qPY7VZUVaHZHJBIqAyHPXR9iX6/R73eIJu9gaJ8\nC4fDSj6/RiIxz86Ozvz8eZLJN6hW+9jtIez2NNvbL6LrPmR5gNc7z/5+gUBgjGj0FBZLhU6nwNmz\nATqdMjs7VSwWGbBTLB6h3w9QrTYolz3Y7SVE0YWinGJlJYff7yIWi5HLNRGEDnNzAUSxTqt1hcuX\nj6KqhxMCOPSHHTmtPDlG8eKX86T1Oj6+SKGQx2L5OhbLdXw+O1ZrDIuliSiGUdUgxeIBx4//Hqa5\nDwRotVxsbaWo1w+QJD9W6zS6vsSxYyepVk0kqYgs+9na+ikOx9PY7Zvk85O020EajSzx+Dz1uoym\n2VGUBJOTCo3GGp3ObWQ5SL2+xGBQBTpsbATw+59GkjKsrLzGiRPP0OnYCYdPkMnY2drK853vfIN+\nv0ClovHCC0fQNA1ZXuE3f/MEpilz+/Y1wuEFVNU10usTZKTXX04ul+Xf//ubwAvYbCrp9FX8/tDH\nOubeupUllxunXC5w69Z7xOPzRKNRvve9G1y6NIaqzuP3+9nZGQIBdD1Pp6PjdHao13cRhNi9TSkr\ngmCl0+nj84Uol3NkMjk6nQqCMCAcDtFobOF21/n6159DVUv86EerZLN2arU+FouDSKREu22lXtcx\nTTutVoxyuUWv18ThcKDrXZrNPFbrS3Q6OoVCnelpB9FoBEHoI0lNPB4ZTdtifPwyojhkZ2eF2dmn\ncTgqbG058Pud5PNDms0pms01Go1dQqFpJGlIq2Xl5MkQTqeTvb00AFNTAebnp++5MX1xn+eXlYf1\nKR8AUdM0Cx+5HgTypmmKn8XgRny2rK3tomk+2u0evZ6VdDqPzbaN16uSz3/02SYWy2FHPlUNIklN\nAFwuB5pWZW1tDav1WZrNPMXidU6fjjAYbGCxRAiH45TLHcbGFEzTzdmzr7C19Rbt9k36fSemGUVR\nfPj9UXq9NPn8XTqdGC5XnVOnjtLthul00oBAp2MiCCG63QJW6wwOR5xe7yqyfJp2u8jCwnlSqR1c\nLjcnT57G4ciQShUwTYOXX/4GAO+8c4di0YOixIAHbdv+vq/SnwSjePHZ8Kh6FUUbijKGKGpI0geh\nXpadBIPj3L17QLF42MzD52tx+rSALMfx+Y5RKrUxTYVut088/g36fQtbWzcJhWoUi6/idLqQ5TC9\nXp5U6gaDwVnK5RSXLr1IvS5hGCtIkoggSPR6fZpNG4pykkDgJBZLgkJhg52dJhcvnscwOkAArzeF\nKKq0WiGcTi+nTz8FQDq9x61ba8zMXCAc9pLPr97vBjjS66/OSK8PR6FQw2KZxmoNYbc7abWOUK3u\n82GDmnS6hMs1yc2bOVIphVbrFKXSXZ5++lU6nS77++/R7+scHHQpFltoWg1FkRkMNlBVlUDAes+y\n9F1AZzjcwm6fwuFQ2dtbYmrqedptiVotSzbbw+dLMDY2w3vvrfDUUy28Xg/BoICmZel08tjtN6lU\nHMTjz7KyItDr7TMYWBgM7iDLGpo2T69nQ1FW8fmmKZW22NurEQwGkSSD6ekTiGKaQEBFkgrY7Xae\neeYP8PlibGz8gHwestkUjYYXVbVimk16vRzD4RC3u8HkZAiXy8mFC6c/MU/8cXzfv+o87E658CnX\nZQ5tAEZ8CXjU5gaFgobDMcWpU0EqlRLF4oBIxMbi4iWWlt6g1ztPKpVG024gikNk2YkkadRqbxCN\nLtDr1VlcdNFs9ojHTzMc9qnXTazWl9nd3cTl6iDLThqNLJ3OLVT1FKIYQ5abeDxjtFpjNBoidnsf\nTWvf80426HQ0AgHz3g5dCqezgK7rVCqTCIKKYUj0ejJW6x6C4EBVnTSbW1gsCtVqhmp1DZstQqvV\nJBhUicVCmGYXp9PNzs4OohjD5ZLv7VDO4nTWWFgYOX89QUbx4iF40npNJqHXa9PtvsZwKAFhWq03\ncTo9+Hwher0aJ0/GuHLlLcrlIJpmwTAahEKnaLd1Uqk9IpE97PZxGo0dDKPD2NhTyPIAvz+CKI5R\nqQyQ5cMiU8PQUBSD4VCk1Wpgt0+ztZXCNHdxu8ex2fzIcoJOR8Yw1rFYCohin8GghsvlxzSzVKsZ\nyuU6tVqBiQn/J77uUqn8QPMVVXXidNZGE/Inx0ivD4GqqszPu8hmc1gsPnw+EVlufsyur9Xqc/To\nHM3mJo2GSSSyQKvVpdttkUwanDlznv39q2jaHqZpw+c7gtvtYWzM4OWXx8nn71AsrtFqtfD5Bhw9\n2gaWuXz5Kfz+ZxBFiR/8oIQg1EkkJlEUH8WiyN5ekampcer1BoVCj1zOQqMRo9lUUJT+PdvhdUwz\niiS56XRcdDrzSFKAfv82bvcqwyG4XCLhsJ1mc4+xsXVcrggTE99lf18nnz9gMOgxGBSZnIyxtLTE\ncOjF4RAwzTqnTs3Saom43QecP3+WWCyK0/nJOWdP0vf9q8QvnJQLgvDffujHfyoIwocPG0QOi0DW\nP4uBjXh0PnyT67qOIHD/hv+kmz0c9rK8nKHf9+B2ezDNDNPTcRYWFvjn/xz+3b/7CYaRJRKJMRwG\nKRaT+P1+2u06kvQ6L730NV544SJWaxdRdDIcygyHF8hkDmg0aoyNzVOp3MFu7/PKKxMcHBRIp00O\nDgY0m3663adpNFZxuerU6wa6/h4uV5OZmWc4ckRBEAo0GgZW6wY+31FisRhQotHYAOqIYhpF6TIx\nMYmq7jM3N8GNG9+n2ZRpNlvo+j6x2AU8HgMw0bQyul5lOBwwNnb8c/1s/j4wihePxpPW609+chtN\nq2C1+igWYxSLLcJhlfFxD9Fokd/4jVNEowEuXXqRf/NvfkSxGOLEiRdQFDdvv32dUimIqgrkcj/h\n7Fkv6XQDi0XHbh+yvp4EFjGMMTqdHFZrCau1hCT1UNUFfL42sqzTaPTxetNIUgCLxY3DMaTfB5er\nQre7STLZxOezEI3WWVwM8bOffZ9q1Um7rXNw4OKZZ7wP6BVgMCgQDo/0+qQZ6fXROHPmCLdv32Bq\n6hj1eo5ud4nf//0HrTjj8SD9/gaDgcrsbIxS6R0E4RjFYpJeb4tLly4Sj09x7FiN1VUrHs9hPUmn\nIzA+3mRiosMf/dF/hq53MQydZLKJxzPL/v4eBwcNDGMfp3MSr9dDu11Hlgvs76dQlDA2m4VC4YBM\nJk2lkqDXg60tEbc7higWMIxNEonL9HoOGo0CojiPwzHE6QS7/RSNxo8JhWZ56aWnKZc7aNpF6vXD\nztrRaJxo1MLKikmpdIuJiRdJJgUiER+BQJhSqYIoTrC4aKNWyxGNzmKzOen3sx9zh/owj+P7/lXn\nl+2U/zMO2+4C/CEPepZ2gT3gj578sEY8Lu/f4O+8YyBJcer1Ty8gm5ubJplcRtP2AJidtTA3Nw1A\nPB5nbGyaixdfplw2uHs3TTh8mWLxFt2uA79/ht3dBmfP1nn22VNsbd2gWg1Tre6i69eJRsfR9Sxu\ntw9FsXJwkOWVV07wL//lG5jmKTweGbdbxGq9iKZdoVTq43QGUZQE+Xyf8fEeiYRCs9lFliVMEzY2\nVrBYFul2qwwGBRYW5lDVEhMTIt/+9lmSySxWK0SjxwBoNldotVZ59dVvAe/n60okk90H2n+Pjsye\nGKN48Yg8Kb0uLCwQj8f58z9/m3xexTQlxsYU+v08+/s/JZEYu/974vE4v/3bX6PR2KTVqrK7u4XV\nmsHrtSIIQyYnX6TVyhMO12i319jc7GOzjeHzOQgGL5HL7dBqvUu7DZJ0hE7HS7ebx+Ho4Pd7GBvz\ncHCQolLp4nSex2arIIoSExNTSFKb4XCLb3/7EoqicP36NuGwH0kao9fb/ZheD1/3IisrlfuT9JFm\nnxgjvT4CiUSCP/gDuHVrG4AzZ771MecVt9vNK6+c5LXXlhDFEK++OsXdu9eJRp2Mj/sxjC47OzsA\nxON++n0L4bCfSmUH0zzA44nhdrtJJNxcv34bTZMZDGq43U7q9RSDgY7D0WZyMo+ua9RqAp1OkG53\njdOnL5PPl9nczKAoTdptk8HAgWFsY7F0cDg0XK5tIpET7O/30fUMi4tncDhcHBz8DJ+vxPz8S+Tz\nOcplO+12j+FwQK/no1AoMTMzQyIRIRgsY7Hs4XAUOXNmDEmyc/z4FP1+m2BQJxIJ0O3KmGaXD26v\nEQ/LL5yUm6Y5BSAIwhvA75qmWf0cxjTiV+RhC8jcbjcXL058KMgcAeD69dtcufJzNjd7eDwBLBY7\nFkuEbHYHTevR6yn4fJPcuWPFNN/ln/yTb/IHf3CeH/3oKq+/vs/x48+wt1dD0/ZR1TAQQhDi/PjH\nd+j16phmFlVN0Gq1URQvmUwbSZKIx0+jqgGWl3/I9raNkycDhEIWgsHn+PGPf4DbvUC1uo6qWvD5\nXmJiAjqdPvl8mWg0ys2btwgEnufIkUsA7Oz42dm5RjpdIh4P3k9RmZurj47MPgNG8eLxeBJ63d1N\nk0zmqVZVBEHFZgui6w22tnZQlCA3bvjIZNJ885seDg72OHEiwMLCLt///hVarXFstgD9foZQ6DTV\nag9RnKbdbrO5+XeY5hC7XUEURbzeMaxWiULhGoYxjsNxjt3dbXS9T7fbZ2rKx8TEJIPB94lGQZaT\nVCoVAoHzHD/uxuEIkc2e5ebNJM3m5gN6TSaXqFZvfKIP9IebBo00+2QY6fXRSSQS9yfi9Xqd1dX3\nJ9gf3KuJRILvftfN2touV68WWVg4C8CNG5s4HH5U1UejkUcQNuj1PGxuipTLaRKJCZJJO//qX/2Q\nxcUIy8sFOp3TaJqVra01fL4gNlsZWa7w/POzjI8v8LOfvYfF4md2dhGw43A4UFUbptkEXAyHOqY5\ngWkOGRuTSCQqhEI6p08vsrS0imnu0+8HmZ62cerUeW7dWqHZjJNOS0gSvPDCLOvry3Q6AoVCmlwu\nyYULlxkOYWcngyjaUNUo7XaG2VmR8fE49fqHHVXKI0eVR+Rhc8q/BVg+elEQBAUYmqbZeaKjGvG5\nUK/XWVmpoCgnAbh2bYNm02BlRefq1SKVioyqXiUcjiLLXqrV28AiopigUinh8cQwDMf9Nt9PP30O\nu/0EuVyTViuDYQyp1SpEIgl0XSeZbKMoC9TrGbLZXex2k14vTbMZxDSnyef3sFr3cTp9NJvrXLny\nfRYWIlgsESYnVWw2K8mkQLM5i8sVQNPeI5+X6HZVqtUgjUaEavU9rFaFTqdFJrNGIpEgk3l/IuJH\n1w9TJH9R44cRvzKjePEZ8Iv0evdukWLRQFW7OBw53O5zpFIbgB2bLYaudzHNI+Ryh2llul7j9Olp\najUv6XSdYrFOrxfgzp338HqncDpllpZ2MM0T+HwGBwfLWCxustkrDIcFZHmA1TpGr1fH7fZgGBob\nG1c5c2aMVKqFzWbnxIkAVusUGxtNRFGi2+2QTOr0+3bcbj/N5uC+XgF0fZtSqUsm4wFgdXWZRELF\n5XI9sKge8cQZ6fUR+cCz3EO5XKff3+CVV07en7C73W4EAZrNMB7PAtlshkolxsyMi2BQplBw0emI\npFIVDg7yNJsKLpfM+rpAu+1kdXUZUfQSiWTp90O0WgFarVvMzs7Q6znZ309TKESYmXmelZVVVlbW\n8HiqhMMmzWYVq/UsgrAHhHC7ZwiFWpimjUSiy8LCDINBgcXFE9y506PfN5iePk2/3+appwakUjn6\n/R4+3wylUpFaLUW3G0fTuohiEEmSWF/fptWa4tgxhUBARtc9JBJDnE4X9foX+cn8+vOwk/K/AH4M\n/O8fuf5HwIvA7zzBMY34FfllBWTvNyzZ3k4yHE5it9vY30/y85/voOtZKhUvvd4FwI5h7CJJBzgc\n77Cw8AzLy31MU6DfT7C5+ROCwQjb20ni8SC6rrO/38FqHafZbJPN7gAanU4DVe1jGBbq9SrD4RS9\nnhNNe53hMMT09LdIpUQKhQwuVw2LZQ2fL8D2toO9vU0ikSXOnXOhKGlOnDjBu+/eJZ1u0uvVMM0w\nLtdlVlYKWCxu6vWfU6stUqtpDIdVTp++jNcbIJ3Wee21ZWZmLgCjRgWfMaN48Qg8TMFnKpXir//6\nLSoVB/PzNkDl9u0i6fQGqZSNZvM4ojhGsXibsTGTXu/vsNu9yPIikuRGEBxsbd3G7bbgdttxuw9D\n/2DgYHx8Dk3bJJ2+S7u9QrU6pNXyousBWq00druPbneRWm2VZlNEUS7h8URJpd4jGt3EZpul09Ho\n9aL8xV/cZmoKzp2bQtN2OHLEyvnzKm+9dY3VVYV2+xSK0kDXfVitH+gVoNG4y9Gj38TrDWAYdTY2\nhtRqFiYmPCO9fraM9PqIpNMlOh0PBwddRHEcw1B57bWlBzzL83kNURzH5QpQr7ewWKDdrjM9nSCf\n32Zry6RanWc4TDAYtDk4KCKKUVqtId1uFLd7mlotidNpUC5r2GxB8vljbG+v4fEcIMsqhiHgcp2g\n09mkXN7m3LnjXLp0meGwAQi0WiHs9jZut0EsNonPV8ftDqPrMo3GGpIUQRSjZDJQKr3H8eNTXL58\nkbGxBisraxjGgEDgMlZrk/HxGPv7A372syUslhD1ukwyqTM/78XnU3C5ao9cvD7i4zzspPwyh12/\nPsoPgf/+yQ1nxKPwaS1/f1FVc71e50c/WkbTbGSzTQzjFg5HgELBQj4/TiqVo9sd4vFM4HQGaLUs\n+P1Dzp9XaLdVGo0u1WqBRqNDt9ukUhEZDqd45509ZNnANE3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dwGJpUaksMRyGSKWWEEUb\nLleXbrfK7OzvcnAATqeXbjdNq2Wl36/S71d49tlT99NP+v0ONluNCxcWyGZdFAoFCoUCNpsFXf8g\nNx5G9RmfJw89Kf9154//+I/vP37xxRd58cUXv7CxPClU1UksNv4x/95UKsUPfnCTen2aWMzDYNCn\n0dhG1yOk033y+VVOn45hmuDxzCJJNopFjXy+xdraVVyuaTRtlna7SKFwF8MYksutEQqJTE2dx+Px\n0e0eFo00m2UaDTAMGUF4D0UxsdnimGYTr9dPq1Wh1VoiFjvBuXPPUyzW2NpaIxqF48cn2NzMk8/3\n6fUUbLYggUCIlZX/F1U9gcczhyS5EIQwihLG6TRoNPIMBhper4bDYaNUWiMatdNoGPdf/2GxzQ6V\nSgBVHWd5OUMi0QYK7O210LQxwmGTmZkj9Pudj+WdfhUdHN544w3eeOONL3oYj8RXTbO/SK+vvbZE\nPt/DNL3Y7UNgCxjDNPNUqxouV4y1NR1J+qAxRzpt3O8cWC6rNBpZIhGJ/f1bJJMV9vfXqdWqnDhx\ninffXaPZPI1p2slktoEWw+EBPt8sLpedbjeH3W4nEAgCO9RqdUTRycTEt9G0Lh6PzquvBrlxYxW3\nW8Zmc5JO64yNXWJz8yqtloosF3G745hmDJery8SEQqeTZTjUsNvzOBw2Dg42aTb3mZiQ0HWdgwOB\n4XCSnZ0Ud+/2gRp2u4WpqQArK++QTO5Trdbo9z0f2sl7MFf8o3r9KviZj/T65ef9ReDa2i63b68T\nDi/Q7/fu73Qfssvu7s+x2WSmp58HoNlsoyjz6HrigU0ht9v9QPqayzVJsahTq9Upl69QrToBC1Zr\nk3PnLvD22zcJBGz4/Vb6/XWeeeY45879YyQpRCq1jmFkcTg8VKsbHD+u8MorL5FIJD6WflKv1/nr\nv75CqxWn02nT623yzDMR/P7zBIOj+oyH5UlpVjDNT87VEwRBB6ZN0yzde/xpmKZpfu6f1L30lQbw\nH5um+W8/dP1PgOOmab70oWvmp73OXyc+6i7Q76c/tnqt1+v8+Z//jFwuQaHQBLqEQi48ni1Onoyw\nva3fz1Xd2bmGyzVFqSQhimPs7GzQ7+9x5swc5bKXtbUM1aqOIDhQlC1mZsDpTFCpCFSrQ65f13E4\nBgyHbfb2tllYiDIYyJTLAhbLAE0T7+36rTI7KxKJBAkGn2dzcx/D0Hj22Qnc7jrXry9RLC7icoWQ\npD6VyhKGMcDpPEWr5aVYzGC3ZzhyxI7f36XZHKAobZLJIW73PEePxrBYNvm935vj4KBHOt3j7t0u\nnY6LxcUZBoMWw+Fd+v0ChuFA0wKEQnYuXpyhVithsezfPxYHful7/FVAEARM0xSe4O97ovHiq6DZ\nR9Grps0iiiJbWzeJRqcJBJr0+xnAwtTUuft6DYeP389XXV9fx+uVOXnyNEtLe1SrFvL5DTStjt8/\nQbF4gNMpMjMTIZmEW7csOJ0Rms0yqdT/zZEjiywsnGV5uUQup+Nylel06vh8KooClUqVl1/+bbze\nMd577wrT0z48HoXt7WVMU0DXT2CzyQwGGTY3e3i9Pez2aQ4ONBSlidutYrMVOHLEitWqsbpqwWo9\njqIMmZgo8/WvjzMczlOp1CiVPGSzBQRBIhLx43Bk2N2tYrUeFrn2eiovvXQOGLK9vUkoZPC1rx1O\nfEZ6fazfN9LrE+SjC0P44L48OMiwv59hejpCpaJRKkmMjUE8HsVmszxQ93SYvtajXPahKANmZtzk\n8wVgjUpFJ5+3IggCpVKV4dDP5KQPr9eD1Trk4kU3c3PTpNMlcrks167t0++H8XoPHVZ+4zdOfKIu\nrl+/zd/+bYFWa4zd3TSdTpZAQMdu9/H002cZGwuQy+UJhQzOnDnyUA34voobW4/K42r2F+2U/zPA\n+NDjLxWmaXYFQfg58JvAv/3QP32Tw2YIXzke5nj2/SPzYDBBOCyRSu0iCLtcunQUp9OFac7f32kL\nhxe4evWH9HqnUZQ+plnC758DoFxeRdOs2O1BolEJr/cymcwy29vriOJ5MpkDrFYDtztKNruM1apQ\nLA5xufxIUh27XadYNKjXk7hcZ9naGlAo1HC73yGZFHA4Qty922R2NsLcXI5SqYBpTiLLdmw2CYtl\nn1SqQ6EQAToMhxu0WkOOHp3C7TZYWAgzPz+LqjpxOBRstjNsb++jKCdxuWo4HA16PS/Vqo7bLaFp\nBtHoFMeOhXn77WXyeQ9vvvlTisUcc3MnGQ5FDg728PvNB3YjRzsED82XOl58ETyKXp1O/z2/Y2g2\nbzMx4SEUOoquJx7Q6+rq2+TzPkQxQLNZotc7/D+Li1O8+eYbiGKdc+dexOkM8dOfCtRqIgcHOrlc\nD0Ho0et16fXqqCpUqxorK3vIchy3O0O3ewNRDCAIfsrlKO12guvXf46qyqTTIjabQCx2jnBYYji8\nTqGwg8v1POBDkv4Gl0sik8lhGCqaFiKX28bjqeL1qrz88hyJRJhud4jP58bnO0ajsY+ifPJ7V63W\nUdUEodDhfPH27U3efPOnVCp9QObixcOCtJFeH5uRXp8gH82zXl3duZ+6Jkk2CoUWg0EfWYZcLk0g\ncIlSyUGttko0eug6+X4scLlqdDqH6WvNpsHERIxYTCWXy/Jnf7aOYUxjGFNUKrepVEq88MLv0GwO\nuHVrg7m5aRYWZtB1nVBoEZfLx9iY9xNPhN8nn9dQ1SMIwhBBCDAYhEmnlxEEmcFgj15vhYmJOA5H\ngO997waLi2dRVeenprSMrEl/NT51Um6a5v/5SY+/ZPxvwP8lCMI14GfAf85hPvmffqGj+gx5mCKL\nQMDNwUERGMPlUvF6rfdX0I2GTqVSA2AwaAJ9TLMFyHg8HgaDGoZhIggahrGDzTaPqp6iXm9ht0cJ\nBAZsblaQ5RDRaAxNW0fXc8jyM9RqLQxji1On3Bwc7NDpRJGk52k0PLTbGslkDlW1YrE8S7W6j9NZ\nZmoqjtVqZW4uTq1m0O2WsNtlLBYBv9+GKBo0mzU6nQDtdo9i0Yko+jk40Ll0KXo//07TyrRah68/\nFAricuXJZEqUSiqm2cXlauJwyOzsVAgE5tndXefdd9/i9OnfRRBmOTgoMjHhIZ/fQ1EST/xz+6rv\nHPyaxIvPnUfRq67DYDAgHLbyta+dvbfj9aBea7UaFkscRZFxuxMMBgOWl2+iKE6GwwqhUABNa5FO\n72OzBTHNFDabQLF4gGlGME2NXO4qY2Pz1Gpl8vkVJib28HhEWq0zFAo2BgMfIJHNVqlWC6iqTL8f\nYWKiiyRZUNUEorjN3FycYjGFplWQZTuqajI5GcNi0TCMMuVyi27XgmnGWV01OHv2zAN6dbm8VKtp\nbDY3tdoqFssAEKjV8rjdIpq2SaHgxumcRVHavPvuXzI9/ZtMTc1RKjVwOBwjvT4mI71+fjidThYW\nwlgsezSbDcbHIyjK4URcEGQ+esAQCgXJ5/dotZzY7Q1crgrx+BR37qzRbvsRxWkUxYJh7FCtmmha\nk1BIIhxeuH/P3r6dQdPmaLed5HJZJibkTx1fKORlZaVEPm/Q60Xp9yuEw6dxOBz0+28SCJxietqL\nKErI8ql7ha2f3tBrZE36q/FrnVNumub/IwhCAPgfgCiHfquvftU9yn8R7xefTEx4KJeTSFKaV15Z\nvJdHlub119/Gaj2Bx+OiVHqX06fP0GyqiGIcw6jRbP6YTMak1/Nit3soFg0kqUqttsrcnIdoNEal\nYuJ2j6HrOQyjxGAwRr/fRpZPUqvtc/PmD++1C+6gKEdpNmXa7VUGAx+C4MJiERkO3RiGxo0bP2Bq\nqocoBnG7oySToOt2XK5Z3O4EipIgn89RqezgcHhR1aPU6ykKhTK3br0BvHjfzeLMmSOsrKSBOHNz\nUWT5BpFIi5mZONHoFK+9tkSrNYfT6cXjcTE19QIWi4LL5UXXoVxOcuLE4UThSTo4jHYORnwaj6rX\n8fFJVPUkLlcAXdcol99mdXWbaPQEweAMb711A0kyabf91OtpnnrKgaqKnDw5Q7dbI5msYbWeZzhU\nACf9/oBcbgtJCiBJfep1qNcdWK1dWq0G4MHnU+5Zpqr86Ed/hd3e5tSpIYdtvO10u1EEwYZpFgkG\nZ9jZqVAqZZCkl2i3k2xt5Ugkoty69Qal0iLBYACbrc78/DRw+IUdjbruT04EAUwT3nknTbd7DBAR\nhAFTUy/g9QYJhWL3XvtIryO+nHzUCchmq913VLHbRbpd497zwrhcgwf+D8SZmHCTz69y4kTsfjGo\nqqq4XG02N29js43h96sMBlkUpczi4hn6/Q5QI50uEQ4v0OnUAQ+tlkg+v8qLL36yKd38/DQbG9fY\n3d3GMDKoqoqqnkCSWkxMxLFag6iq/CE74RGfJZ86KRcEYfiRSybwSfkxpmma4hMd1SNgmua/AP7F\nF/X3v2x8+Mj82DGVePzy/QKSt97aIxi8RL8v0+kUmZg4AsgsLk6xt7dLOr1OoZBnfPy3kCQHY2M5\nBKFAr3eVI0fc+Hx1ZDlBKCTR6aQ5c8ZJvd4jn+9jtYaQZQVZtlKrWZBlJ7LspNNZYmZmm2TSgd1u\nIRYL0elsUC7vsbu7gywvkMsFSaU2OHXKg8sVplbbwWKx0WgUKJcbGEadfl9jMBinVuvT7Vrw+VwE\nAtPk82ucORNlbm76/q7kB96qv/nAF+np02VWVg7toFQ1yP6+SrudRtdjGEYNSUozP38YuJ6kg8Pf\nh52DX5d48WXjUfVqt4sMBml0HVKpLe7ceYupqRdQlGNkMimmpy8jSSk0bQtRrOHzHcPvDyOKAxYX\nL/Cv//VfsbfXpdutoSiXaLcL6PoWVusxBoNdBoM28fg1mk0bTucsqlrjyJEZstltlpZeIxCIEw4H\n0PU8LpeEy/Uc3W6VRqOHzTZGsbhGuWzQbnuQ5TIOR5huV2JrK8Nzz51GEGTy+TVeeeXkA77Hn8ZI\nr58NXzW9fh4nG5+UN/5pf/OTUtfg0IQgn/+gB0G/n8bl8rO6ugPAxISV7e1lLBZ45ZVFEonDU6DV\n1VWuXbvBtWtbWCwv4vFIdLtbBAIdSqVN3n33gNOnTxKPf/A3JUlnd/eHWK0wP+8nnS5x48YSpVIN\nh0PlzJkjuN1ubtxYYnV1F7fbz+RkG9Ps0u/fRBTBZgugadeQ5UuAhW73FrJ8Fk0rf+oCeGRN+qvx\ni3bK/6MPPQ4D/wvw/wFX7117Bvgd4I8/k5GNeCw+LTil0yVEMUQwGLm3yzbGcLiOru+yvNxkaytL\ntytit1+mUNAJBlUEIUilkiIQOIppOoAU09NtBoPDYlEwCYVUVNVBtzvGcFhBliuY5nHAxG6fx2q9\ngsOxid8/hd/fJxhMsLur0et5UdWXMIwy4XACVT1crbtc08jy/8/em8e4meZ3fp/35X28vG/WTdWl\nqpJKtzTd0z3T0xPPLHzt+NiNAWM2CTYBDASbIMgfAXYTBEE22SyCwAaCNRYJgl07Doz12l4b9hie\n8fRMd08fknpUUlWpDqlOFsnifbwvr5fHmz9YVa1bJY3UPd3iBxCgIl8+fPiS399z/Y4g2exdcjkR\nq1XBao1Tr5swmZooSgZRLODx6JmdPU273cJuLx+rxO/U1CjF4jZ6vQWjsUM8fptYLEgy+RO63QK/\n+IuXjjVR6PNI+vbiOXhWvbbbcfR6SCRuc/fuBpHIV9HpJtjfLyGKFqrVPCaTgNM5R7ebI5/f5dw5\nJy6XSLtdR5Is2O0NWi0/tdodjMYM3e4g7XYVkylIq1UgGr1KInGCTmcbny+CKDbIZHYwGr+CXh+l\nWk1jNLoPsjssoWl22u02u7sKVmsVu30XVY3Q7ZqxWoM0m0mgxezs6YN6BxFkufzUe9PX60vlS6PX\nl3Wyca82Jcl4kEqw9x4rK8uAhtM5+dj3vHcs+rSPAwSDTtLp25w+HSES8XL1apxy2U6tVmN/f5ML\nF65gs0ksLyeOTsz+xb/4EdXqSSyWYVKpn2I2r2EwCNRqBZaXV9jbc/D1r4/fs6D/AZubbkRxAEG4\niyxvcPWqwgcfJLDZzMzNneTjj99laEhiZaWDolzGZGoTCBRQ1SzZ7G1crjHq9RpDQ2ZCoRKSJHH2\n7PmDQM/yYxfADy5IJKm3IDjMfd7X6pN5kk/5nxz+XxCEvwT+O03T/vU9l/zfB77cvwr8ny+vi32O\ny9OMk8/nZXe3t8umKGVMpiRWq4GlpV1k2Ybd3iYUipBKlalW90km71Io1PB4ztJsNqjVVOx2O//g\nH8wdVSn85jd/Ab1+lU8+SaCqBprNuwjCAFbrEPX6PoFACln2cenSBU6dEtnYWEPTponFHORyPmq1\nBoXCXfR6J6LoIZcr4PPZsFqj6PUrDA058Pm+wfJyGlHMHvi31pmdnT8Y4PMoiszVqzfJZEoEg66j\nXfNH4fFopNNLhEIuxscnef/9HaLRUbze0+zulolGKy/caLwKOwd9e/HsPK9eMxkFWe7gdEYYHo5R\nKnVQVTudzh0ymY8wmc7g8XgBPSaTiN1u59y5Ud599wbz8xMEgw12d1Vu3lylXN4AzqHTVbHb/Wja\nFs2myNDQW8hyAYslD2wTCIxhNJ5Erx9EVf00GtfQ6VRyuQKBwAR2ew1Fucn4eAyvd4pbt4QDH/ZN\nLJY7RxNygGpVZmMjjizLCALY7dJjB+u+Xl8OXya9voyTjQe1ubl5jWBw6ihF4O6uHU1Tj4pbPe09\nH6xZYLNJSFKZZDLP4mKdTsdCLldFUSROnOhNeA/bfOedmxiNr2M2w/5+Dr3+NIVCFUWpAm0uXEiw\ntTXNv/pXPyIcDpNM5qlWHej1Eer1Nul0l3i8hiBkEISv025n2dlJ4Xa7qFSqOJ3jmEwRGg2Vra0c\nomilXo8hSdOEw0Hy+TiCwDOlGr03xWPfFezZOK5P+VvAf/2Ix38E/O4L602f5+be4iNjY6aH8vl+\n6rvqIJfbRq/PEA7bWFqy4nROIAgWarW7FIvrBAKjCMI+wWCCSOQSo6Mu3G6JclkinY5z4cKnOwDJ\npJNvftNMLvcxiiJSKIjE40XM5jPUanl8vjKtVow33jiDy2VCr+/g801RKnVZXl6m3XYjCF2czm38\n/hYOhwW/v4ui1BkbO8+JEyqNRo5AoMaJExJjYxNsbe1jNJoplfKUy2ukUnUSCQlR7OUkj8eXePvt\n2fuEf+9OhcUyQLGYAFTGxi7cY8zzL+WY+hUsatK3F8fg3gJffr8LiB5Lrx7PNM1mhmLxDsXiOuHw\nOZLJHTyeFNPTY2xthfD5LLjdgfs0G4sNYrE4mZ01sbOTxGQqcPv2Xba29rBaTwB2/P59LJYIs7Mi\nZnMQuz1KubxIIBDl3Xe36XR0iKKC3b7NuXPDFAotLJZlwmEH7fZZAgE3Pp+DWu022ewHjI1JnD//\nTTqdMqVSnmpVZnFxgVhskuVlGU1TOXny4YJAfb1+pvT1+gAPTvT1+ii5XP6FL862txNsbLQxGgcp\nl7uUSnk2Nu5gtUrIchFRbJBKZUkmt6nX62QyKWAMWY7TbPoZHOzQbkcwm9+gWLzOwsIGtVqVbLZO\nPL5DtxukWByk2azhcrXx+ezo9VYaDZlCYR9BaGAyhalUbpJMdlHVKhZLnFDoa9jtg7RaCjpdhHT6\n+cL0EokczaaDSqV3MmYyOb50rmAvmuNOynPAbwD/ywOP/xqQfaE96vPMHA5gmYydREJgY+Mm4+N+\n3G4Tsiwf+avNzHiQZZXxcTfR6DjvvnsDnS7CwECIu3dz1GpBTKYVQqE95ueHkWUv164ZcDhMdDoq\n3W6OQMB1dKynKDLlchpZtjM/P0ejsU+xOI+m7ZNO/wCXq4IsO6jVRtjbM5BKpRkdNXP16rvUanP4\n/T6Sye8zMjJFLHaJRuND0mkbBsNJdLo0q6t/iaq6mJz8KoKwQS7XIBCoEI3WD1xaCrhcesrlAA7H\n4EHAppNSafsh4T9qNyWTWXopmRsexStWmrhvL55CpVLh5s0k+/uDtFoy3e4Os7MeIhHTkb48Hg1N\nKz+kV0nyotNZSCbzmExJ3O48klTm299+m2Qyjyw3H6lZRZHZ3FwnGJym02kSi0WJRn+Bd97ZZ3c3\niaat43DUqVSiBAKnsFgsVCrrzM0N8kd/tIDff45MJkG3+1POnp3HZkuhKG7c7ss0mzLJ5N9iMGyg\nKJMIQgibzYggtDEaFc6dG2ZjY4m9vRSx2Gn0egmHIwx0aDbL2GzR+zTb1+tnyhdar5/FyYbX6yCd\nvn1Q6RacTgXQjv5+3HsealmWZcrlfWDyvus/+qhKNivictnodg3kcte4eXOfWs1PvZ5idbWGw+Fj\ndfVdOp3LqCqUSh8QCISo1z04HNfIZCZQlF28XpVarcr2dpGdnQz5/ADdbhFN20ev72CxDFCpXMNo\nNKPXl6nV4kxNnWV/XyWZ3KbTyeBw+AkEPHQ6NWo1BYNBxmaTCQRc932ew/v+NI0oiszt2zJO5zTA\nfSkg+zya407K/xnw/wiC8DXgw4PHrgBvA//ZS+hXn2fgcAALhepcv36ddjtGs1nCbN5kctJLONwb\nyB4srHGYCqnT8RAKGWi39zh1ys63vvVpsFmptEy5HKdWq2GxJKlWA/zgB8s4nROAk1rtpxQKqzSb\nNoaGRtHr29Tr29jtswSD75HJhHA4guzt7TM01AGMfOtbr7OwsIrXa+XNN38Nj6eF02kFokhSkEaj\nSDabx+s9jclkQFUzDA87UVU/+/tZoMGFC/NYLBIbG1dptfQIz1FWIxh0USi82MwNfYC+vXgqiUQO\nSRrgxo27GI2nqNUcfPjhB5w+/ZV7jnudtNsJpqZ6g9+hXmXZA8DAQJeTJ+3MzX0aIOpwONjbWyaV\nWqNUUpCkCpI0dbTrLEkiCwvvYLNpBALT7OzoKJfzCMIwgcA29bqbet1IOp1mZGTwIOOCka9+9Rx3\n7zaZnbVgMHwdv79BJCLeo9cUbvcZLJYistzA6WwTDk/T7aokEnexWm04nbOYzXZ2dmTCYR1gf6Z7\n1tfrS+MLrdeXcbLxqOwp3/723FEsxIULM8CTA4zvd91wAus4HHtAL7tQIpFDEMDvt2Ey9dqVZYF2\n24xOZyWX07hxI4XTWeLUqdcplZpsb+/gcPjpdMBqXcLpTLC+fhKrdZFyOYfVOonNdoLhYSei2EBR\nqphM4PWG0TQFl6uNXp/DZqvwla/8EmNjE7zzzk8oFJpIkobfb0eSRiiVttHpCoRCHkKhLlNToweV\nPz9me7uXe3hkxMIv//KlJ95rTYNmUyWV6u2063TqQykg+9zPsSblmqb9W0EQ1oB/AvwKvUjtFeAr\nmqZ9/BL71+cZqFZVTpyYp1Qq4fG0MBqHUVXjY33tIhEvFss1CgUZl8vO66+77qv65XA4ePvtmYMy\nwgWCwTPcvr3DxkaR06ft+P1u9vYs6PWjJJMl9vfzdLtlWq02FouBSuU/QhA6mM0pHI4GJ0+eol6/\nTT5fw+UK0+m0MBhsOBwNIhENt3sCr9fF5uYeRuMolUoVVW1SrbZQVRWn04iqdtDpRtjY2GFgYBBJ\nGiCTuUu9LqAoPjqdJBMT4lF0/CGP2k2ZnPw0JVvvmi/9MfVnQt9eHI9arafXVqtLtdohFDrJxkYG\ni2X2kZp9UK+nThl4++3XHwouu3hxkO99b5FwOIDVGuDf/buPsVpD2O0y8biM2XweTcvx7rs3EEUP\n9bqXZrNCtztPoxHE5xMQhF18Pgcmk57FxQ0aDT8Ggx23ewy9XiUQ2GVm5n69ulwums35WY6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SaYmRmjVmswNPQLmExOrNYEQ0MxbLYdZmai3LyZxO02YrNZaLcLXLnyOgDvvnuDctmD1/twQcIn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\nx44dY9OmTeTk5ES7KBOE2lFcLRytlKtJjhw5wtatWzUYlYoDvb2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K1YYsePt/CfwN8LPp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\npZSKMq2UK6WUUkopFWX/H3PzFBLPJTioAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10a062610>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(2, 3, sharey=True)\n",
    "fig.set_size_inches(12, 8)\n",
    "\n",
    "# Make the train/test split be pre-2014/2014\n",
    "train = games[no_nulls].Season < 2014\n",
    "test = games[no_nulls].Season == 2014\n",
    "\n",
    "for (ax, (name, model)) in zip(axs.flatten(), models.items()):\n",
    "    model.fit(input_data.ix[train], spread[train])\n",
    "    ax.scatter(x=spread[test], y=model.predict(input_data.ix[test]), alpha=0.2)\n",
    "    ax.plot((-60,60), (-60,60), ls=\"--\", c=\".3\", color='gray')  # Diagonal line 1=1\n",
    "    ax.set_title(name)\n",
    "    ax.set_ylim(-30,30)\n",
    "    ax.set_ylabel('Predicted')\n",
    "    \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Well, then. Kind of disappointing.\n",
    "But if this were easy, everyone would be doing it, right?\n",
    "\n",
    "Moving on..\n",
    "\n",
    "- Guess the spread\n",
    "- **Pick the winners / Confidence pool** ⇠ \n",
    "- Survivor pools\n",
    "\n",
    "#### So, this requires a model with categorical output:\n",
    "Given details about an upcoming game, predict who will win. (Win = 'yes' or 'no')."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('Size of the input set:', (3696, 75))\n"
     ]
    },
    {
     "data": {
      "image/png": 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k1Uiuvmo3yZ2t6XEk9Z41f5IkSTL5W40kxyb50Brub2OSzUl2uqw7yVySS9aq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\nmPxJ0oxJsmeSzUnuPu2+7Ig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      "text/plain": [
       "<matplotlib.figure.Figure at 0x10b2886d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# To see available tuning settings are for a model,\n",
    "# call help on its initialization function, e.g. :\n",
    "#  help(linear_model.Ridge.__init__)\n",
    "from sklearn import naive_bayes\n",
    "\n",
    "# We can use the Naive Bayes classifier so long as there are no\n",
    "# columns with negative values\n",
    "input_data = games[no_nulls][[\n",
    "        'Team', 'Opponent',\n",
    "        'AtHome',\n",
    "        'T_LastWkBye',\n",
    "        'T_5WkAvgPts', 'T_5WkAvgFumbles', 'T_5WkAvgInterceptions', 'T_EwmaPenaltyYards',\n",
    "        'O_LastWkBye',\n",
    "        'O_5WkAvgPts', 'O_5WkAvgFumbles', 'O_5WkAvgInterceptions', 'O_EwmaPenaltyYards'\n",
    "    ]]\n",
    "\n",
    "# The input columns 'Team' and 'Opponent', contain categories,\n",
    "# so we have to make dummy variables to use in the regression.\n",
    "input_data = pd.get_dummies(input_data)\n",
    "print(\"Size of the input set:\", input_data.shape)\n",
    "\n",
    "models = dict(\n",
    "    logistic = linear_model.LogisticRegression(),\n",
    "    gbc = ensemble.GradientBoostingClassifier(max_depth=5),\n",
    "    ridge = linear_model.RidgeClassifier(),\n",
    "    tree = tree.DecisionTreeClassifier(max_depth=5),\n",
    "    #svc = svm.LinearSVC(),\n",
    "    naive_bayes = naive_bayes.MultinomialNB(),  # Can only use if all inputs are positive\n",
    "    random_forest = ensemble.RandomForestClassifier(n_estimators=10, max_depth=5)\n",
    ")\n",
    "\n",
    "win = (spread > 0).astype(int)\n",
    "rmses = {}\n",
    "for name, model in models.items():\n",
    "    rmses[name] = perform_kfold_cross_validation(model, input_data, win, k=3)\n",
    "    \n",
    "pd.DataFrame(rmses).boxplot(vert=False, return_type='axes')\n",
    "plt.gcf().set_size_inches(9, 5)\n",
    "plt.xlabel(\"Error in prediction\"); plt.ylabel(\"Model\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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X8W7WbU5OzWxEkjRAg7v564yPiGs7cOyfk3oR/gTsFRG3t/sYZkW9jHezbht1yamk0fWG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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10ad35d90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(2, 3, sharey=True)\n",
    "fig.set_size_inches(12, 8)\n",
    "\n",
    "# Make the train/test split be pre-2014/2014\n",
    "train = games[no_nulls].Season < 2014\n",
    "test = games[no_nulls].Season == 2014\n",
    "\n",
    "for (ax, (name, model)) in zip(axs.flatten(), models.items()):\n",
    "    pd.crosstab(win.apply(lambda x: ('Lose', 'Win')[x]),\n",
    "                pd.Series(('Pred. Lose', 'Pred. Win')[x] for x in model.predict(input_data))).plot(\n",
    "    ax=ax, kind='barh', stacked=True, legend=None,\n",
    "    color=['red','green'], figsize=(9,5))\n",
    "    if ax.is_last_col():\n",
    "        # Legend to the right of the current axis\n",
    "        ax.legend(loc='center left', bbox_to_anchor=(1, 0.5), fontsize=12, frameon=False)\n",
    "    ax.set_xticks([])\n",
    "    ax.set_title(name)\n",
    "    ax.set_ylabel('Actual')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### For the confidence pool\n",
    "\n",
    "Rank teams by likelihood that they will win. Highest total wins.\n",
    "- 1 point = lowest confidence\n",
    "- highest points = highest confidence\n",
    "\n",
    "For this we don't want a class output, we want a probability:\n",
    "- `model.decision_function(input_data)` or\n",
    "- `model._predict_proba(input_data)`\n",
    "\n",
    "It is this decision function that is used to draw the\n",
    "Receiver Operating Curve (ROC plot):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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RLFu4ULVbIoUi0c5a702I5Lbhw2HMGGjaNO5IJC5V1VwDTDWzRAG7BfBx0jyA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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1088cdc10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "##\n",
    "# ROC charts\n",
    "# http://scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html\n",
    "from sklearn.metrics import roc_curve, auc\n",
    "\n",
    "fig, axs = plt.subplots(2, 3, sharey=True)\n",
    "fig.set_size_inches(12, 8)\n",
    "\n",
    "for (ax, (name, model)) in zip(axs.flatten(), models.items()):\n",
    "    try:\n",
    "        fpr, tpr, _ = roc_curve(win[test], model.predict_proba(input_data[test])[:,1])\n",
    "    except:\n",
    "        fpr, tpr, _ = roc_curve(win[test], model.decision_function(input_data[test]))\n",
    "    roc_auc = auc(fpr, tpr)\n",
    "    ax.plot(fpr, tpr, label='ROC curve\\n(area = {:0.2f})'.format(roc_auc))\n",
    "    ax.plot((0,0), (1,1), ls=\"--\", c=\".3\", color='lightgray')  # Diagonal line 1=1\n",
    "    ax.set_xlim([0.0, 1.0])\n",
    "    ax.set_ylim([0.0, 1.05])\n",
    "    ax.legend(loc='lower right', fontsize=12, frameon=False)\n",
    "    if ax.is_first_col():\n",
    "        ax.set_ylabel('True Positive Rate')\n",
    "    ax.set_xticks([])\n",
    "    ax.set_xlabel('False Positive Rate')\n",
    "    ax.set_title(name)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Code to get  a confidence rating"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 ... 2 ... 3 ... 4 ... 5 ... 6 ... 7 ... 8 ... 9 ... 10 ... 11 ... 12 ... 13 ... 14 ... 15 ... 16 ... 17 ...\n"
     ]
    }
   ],
   "source": [
    "# Week by week\n",
    "\n",
    "# Pick the GBC model since that looked best\n",
    "model = models['gbc']\n",
    "\n",
    "# Pick columns to show the results\n",
    "results = games[no_nulls][['Season', 'Week', 'Team', 'Opponent', 'AtHome']]\n",
    "\n",
    "for wk in range(1, 18):\n",
    "    # Each week we want only the dates before\n",
    "    print wk, '...',\n",
    "    train = (games[no_nulls].Season < 2014) | (games[no_nulls].Week < wk)\n",
    "    test = (games[no_nulls].Season == 2014) & (games[no_nulls].Week == wk)\n",
    "    model.fit(input_data[train], win[train])\n",
    "    probability = model.predict_proba(input_data[test])[:,1]\n",
    "    results.ix[test, 'Win_Actual'] = win[test]\n",
    "    results.ix[test, 'Win_Predicted'] = probability"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3696, 7)"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index([u'Season', u'Week', u'Team', u'Opponent', u'Home_Win', u'Home_Pred_W',\n",
       "       u'Away_Pred_W'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results = results[(results.Season==2014) & (results.Week < 18)]\n",
    "\n",
    "# Merge on the home team\n",
    "resultsH = results[results.AtHome]\n",
    "resultsA = results[~results.AtHome]\n",
    "del resultsH['AtHome']\n",
    "del resultsA['AtHome']\n",
    "del resultsA['Win_Actual']\n",
    "\n",
    "resultsH.columns = ['Season', 'Week', 'Team', 'Opponent', 'Home_Win', 'Home_Pred_W']\n",
    "resultsA.columns = ['Season', 'Week', 'Opponent', 'Team', 'Away_Pred_W']\n",
    "resultsH = resultsH.merge(resultsA, on=['Season', 'Week', 'Team', 'Opponent'])\n",
    "\n",
    "resultsH.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Season</th>\n",
       "      <th>Week</th>\n",
       "      <th>Team</th>\n",
       "      <th>Opponent</th>\n",
       "      <th>Home_Win</th>\n",
       "      <th>Home_Pred_W</th>\n",
       "      <th>Away_Pred_W</th>\n",
       "      <th>Odds</th>\n",
       "      <th>Rank</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>Philadelph...</td>\n",
       "      <td>Jacksonvil...</td>\n",
       "      <td>1</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.2</td>\n",
       "      <td>4.9</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>Kansas Cit...</td>\n",
       "      <td>Tennessee ...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.2</td>\n",
       "      <td>4.6</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>Chicago Bears</td>\n",
       "      <td>Buffalo Bills</td>\n",
       "      <td>0</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.3</td>\n",
       "      <td>2.9</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>Baltimore ...</td>\n",
       "      <td>Cincinnati...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.3</td>\n",
       "      <td>2.3</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>Denver Bro...</td>\n",
       "      <td>Indianapol...</td>\n",
       "      <td>1</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.3</td>\n",
       "      <td>2.2</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>Pittsburgh...</td>\n",
       "      <td>Cleveland ...</td>\n",
       "      <td>1</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.4</td>\n",
       "      <td>1.9</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>Seattle Se...</td>\n",
       "      <td>Green Bay ...</td>\n",
       "      <td>1</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.4</td>\n",
       "      <td>1.9</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>Dallas Cow...</td>\n",
       "      <td>San Franci...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.4</td>\n",
       "      <td>1.8</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>New York Jets</td>\n",
       "      <td>Oakland Ra...</td>\n",
       "      <td>1</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.4</td>\n",
       "      <td>1.5</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>St. Louis ...</td>\n",
       "      <td>Minnesota ...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>Houston Te...</td>\n",
       "      <td>Washington...</td>\n",
       "      <td>1</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>Atlanta Fa...</td>\n",
       "      <td>New Orlean...</td>\n",
       "      <td>1</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.9</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>Arizona Ca...</td>\n",
       "      <td>San Diego ...</td>\n",
       "      <td>1</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.7</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>Detroit Lions</td>\n",
       "      <td>New York G...</td>\n",
       "      <td>1</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.5</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>Miami Dolp...</td>\n",
       "      <td>New Englan...</td>\n",
       "      <td>1</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.5</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>Tampa Bay ...</td>\n",
       "      <td>Carolina P...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Season  Week           Team       Opponent  Home_Win  Home_Pred_W  \\\n",
       "184    2014     1  Philadelph...  Jacksonvil...         1          0.8   \n",
       "120    2014     1  Kansas Cit...  Tennessee ...         0          0.8   \n",
       "40     2014     1  Chicago Bears  Buffalo Bills         0          0.7   \n",
       "16     2014     1  Baltimore ...  Cincinnati...         0          0.7   \n",
       "72     2014     1  Denver Bro...  Indianapol...         1          0.7   \n",
       "192    2014     1  Pittsburgh...  Cleveland ...         1          0.8   \n",
       "216    2014     1  Seattle Se...  Green Bay ...         1          0.7   \n",
       "64     2014     1  Dallas Cow...  San Franci...         0          0.7   \n",
       "168    2014     1  New York Jets  Oakland Ra...         1          0.6   \n",
       "224    2014     1  St. Louis ...  Minnesota ...         0          0.5   \n",
       "96     2014     1  Houston Te...  Washington...         1          0.5   \n",
       "8      2014     1  Atlanta Fa...  New Orlean...         1          0.5   \n",
       "0      2014     1  Arizona Ca...  San Diego ...         1          0.4   \n",
       "80     2014     1  Detroit Lions  New York G...         1          0.3   \n",
       "128    2014     1  Miami Dolp...  New Englan...         1          0.3   \n",
       "232    2014     1  Tampa Bay ...  Carolina P...         0          0.3   \n",
       "\n",
       "     Away_Pred_W  Odds  Rank  \n",
       "184          0.2   4.9    16  \n",
       "120          0.2   4.6    15  \n",
       "40           0.3   2.9    14  \n",
       "16           0.3   2.3    13  \n",
       "72           0.3   2.2    12  \n",
       "192          0.4   1.9    11  \n",
       "216          0.4   1.9    10  \n",
       "64           0.4   1.8     9  \n",
       "168          0.4   1.5     8  \n",
       "224          0.5   1.0     7  \n",
       "96           0.5   1.0     6  \n",
       "8            0.5   0.9     5  \n",
       "0            0.6   0.7     4  \n",
       "80           0.5   0.5     3  \n",
       "128          0.7   0.5     2  \n",
       "232          0.7   0.5     1  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "resultsH.sort(['Week', 'Team'])\n",
    "\n",
    "resultsH['Odds'] = resultsH.Home_Pred_W / resultsH.Away_Pred_W\n",
    "resultsH['Rank'] = resultsH.groupby('Week').Odds.rank()\n",
    "resultsH = resultsH.sort(['Week','Rank'], ascending=False)\n",
    "resultsH[resultsH.Week == 1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x108b90910>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "results.ix[results.Season==2014, ['Win_Actual', 'Win_Predicted']].boxplot(\n",
    "    by='Win_Actual', figsize=(7,4))\n",
    "plt.suptitle('')\n",
    "plt.title('Actual Wins vs Prediction')\n",
    "plt.ylabel('Prediction'); plt.xlabel('Won?')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Use the model\n",
    "To make predictions every week there has to be a workflow pipeline\n",
    "\n",
    "1. Prepare the data\n",
    "2. Choose a model (just spent the last 20 minutes doing this)\n",
    "3. **Use the model to score new data** ⇠ (we're here)\n",
    "\n",
    "Keep tabs on the season in Excel. <br/>\n",
    "(If you know how to get it from a feed that's fine; you know enough to modify the code.)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Overall analysis pipeline\n",
    "\n",
    "The same as for any model, not just football.\n",
    "\n",
    "1. Keep a running Excel spreadsheet (or CSV) of the stats you track\n",
    "2. Run the prediction script from the command line \n",
    "    1. Re-run the code to build the dataset with the extra columns running totals/averages\n",
    "    2. Re-run the code for the model with the new data and use it to predict the new outcomes <br/>\n",
    "       (or just use the same model, pickled<sup>‡</sup>)\n",
    "    3. Write the output to an Excel (or CSV) file\n",
    "\n",
    "<span style=\"font-size:80%\">‡  A [pickle][pypickling] is a seralized Python object </span>\n",
    "\n",
    "[pypickling]: https://wiki.python.org/moin/UsingPickle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here we go...\n",
      "Reading historical data from data/nfl_season2008to2014.csv\n",
      "Reading this season's data from excel_files/season2015_datasheet.xlsx\n",
      "Finished.\n",
      "The prediction is in excel_files/prediction.xlsx on tab prediction on 01 Sep 2015\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# The script below does just this\n",
    "%run make_predictions.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Reading the season schedule from data/nfl_season2015.csv\n",
      "...\n",
      "Finished.\n",
      "The blank datasheet is in excel_files/season2015_datasheet.xlsx\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# And the other code\n",
    "%run extra_code/make_datasheet.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Reading schedule from data/nfl_season2015.csv...\n",
      "Finished.\n",
      "Output file is at excel_files/sheets2015.xlsx.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# ...Finally\n",
    "%run extra_code/make_gamesheets.py"
   ]
  }
 ],
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   "language": "python",
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